library(ggplot2)
siswa = read.csv("C:/Users/HP/Downloads/student_habits_performance (1).csv",header=TRUE,sep = ",")
head(siswa)
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 1 S1000 23 Female 0.0 1.2 1.1
## 2 S1001 20 Female 6.9 2.8 2.3
## 3 S1002 21 Male 1.4 3.1 1.3
## 4 S1003 23 Female 1.0 3.9 1.0
## 5 S1004 19 Female 5.0 4.4 0.5
## 6 S1005 24 Male 7.2 1.3 0.0
## part_time_job attendance_percentage sleep_hours diet_quality
## 1 No 85.0 8.0 Fair
## 2 No 97.3 4.6 Good
## 3 No 94.8 8.0 Poor
## 4 No 71.0 9.2 Poor
## 5 No 90.9 4.9 Fair
## 6 No 82.9 7.4 Fair
## exercise_frequency parental_education_level internet_quality
## 1 6 Master Average
## 2 6 High School Average
## 3 1 High School Poor
## 4 4 Master Good
## 5 3 Master Good
## 6 1 Master Average
## mental_health_rating extracurricular_participation exam_score
## 1 8 Yes 56.2
## 2 8 No 100.0
## 3 1 No 34.3
## 4 1 Yes 26.8
## 5 1 No 66.4
## 6 4 No 100.0
siswa_matrix <- data.matrix(siswa[c("gender", "part_time_job","diet_quality", "parental_education_level", "internet_quality", "extracurricular_participation")])
siswa_matrix
## gender part_time_job diet_quality parental_education_level
## [1,] 1 1 1 3
## [2,] 1 1 2 2
## [3,] 2 1 3 2
## [4,] 1 1 3 3
## [5,] 1 1 1 3
## [6,] 2 1 1 3
## [7,] 1 2 2 3
## [8,] 1 2 1 1
## [9,] 1 1 2 1
## [10,] 1 1 2 1
## [11,] 1 1 1 4
## [12,] 2 1 1 1
## [13,] 1 2 1 1
## [14,] 1 1 1 1
## [15,] 2 1 3 1
## [16,] 2 1 2 2
## [17,] 2 1 3 2
## [18,] 1 1 3 2
## [19,] 3 2 2 2
## [20,] 2 1 1 2
## [21,] 1 1 2 3
## [22,] 2 1 1 2
## [23,] 3 1 1 2
## [24,] 1 2 1 1
## [25,] 1 2 1 1
## [26,] 2 1 1 2
## [27,] 2 1 2 1
## [28,] 2 2 1 1
## [29,] 2 2 2 2
## [30,] 1 2 3 2
## [31,] 1 1 1 3
## [32,] 3 2 1 1
## [33,] 3 1 2 1
## [34,] 1 1 3 4
## [35,] 1 1 1 2
## [36,] 1 2 2 1
## [37,] 1 1 1 2
## [38,] 2 2 2 2
## [39,] 2 1 3 1
## [40,] 2 1 2 2
## [41,] 1 1 2 1
## [42,] 1 1 2 1
## [43,] 2 1 1 2
## [44,] 1 1 3 1
## [45,] 1 1 2 2
## [46,] 2 1 1 1
## [47,] 2 1 3 2
## [48,] 1 1 2 4
## [49,] 1 1 1 1
## [50,] 1 1 3 2
## [51,] 1 1 1 3
## [52,] 1 1 3 2
## [53,] 1 1 1 2
## [54,] 1 1 2 1
## [55,] 1 2 1 2
## [56,] 2 1 2 2
## [57,] 2 1 2 1
## [58,] 2 1 2 1
## [59,] 1 1 3 3
## [60,] 1 1 2 3
## [61,] 1 2 1 2
## [62,] 2 1 1 1
## [63,] 2 2 2 2
## [64,] 2 2 1 1
## [65,] 2 1 2 2
## [66,] 1 1 3 3
## [67,] 2 1 2 1
## [68,] 2 1 3 3
## [69,] 1 2 2 1
## [70,] 2 1 3 3
## [71,] 1 1 3 1
## [72,] 1 1 1 2
## [73,] 2 1 1 2
## [74,] 1 1 1 2
## [75,] 1 1 1 4
## [76,] 1 2 1 1
## [77,] 2 1 3 1
## [78,] 1 1 1 1
## [79,] 1 2 2 3
## [80,] 2 2 2 3
## [81,] 2 1 2 2
## [82,] 3 1 2 2
## [83,] 1 2 1 2
## [84,] 2 1 3 2
## [85,] 1 1 1 1
## [86,] 2 1 2 1
## [87,] 2 1 2 1
## [88,] 2 1 1 3
## [89,] 2 1 3 1
## [90,] 2 1 3 2
## [91,] 2 1 1 1
## [92,] 1 1 1 2
## [93,] 2 2 3 2
## [94,] 2 1 2 4
## [95,] 1 1 1 2
## [96,] 2 1 2 2
## [97,] 1 1 2 2
## [98,] 2 1 2 1
## [99,] 2 1 2 1
## [100,] 2 1 2 2
## [101,] 2 1 2 4
## [102,] 2 1 2 1
## [103,] 2 1 1 4
## [104,] 2 1 2 3
## [105,] 2 1 2 1
## [106,] 2 2 2 2
## [107,] 2 1 2 2
## [108,] 2 1 1 4
## [109,] 1 1 3 2
## [110,] 1 1 1 2
## [111,] 2 1 1 1
## [112,] 1 1 2 2
## [113,] 1 1 1 1
## [114,] 2 1 1 1
## [115,] 1 1 1 2
## [116,] 1 1 3 4
## [117,] 2 1 2 4
## [118,] 2 1 2 4
## [119,] 1 1 3 1
## [120,] 1 2 1 2
## [121,] 2 1 1 1
## [122,] 2 1 3 2
## [123,] 2 1 3 2
## [124,] 1 1 2 1
## [125,] 1 1 1 1
## [126,] 2 1 1 2
## [127,] 2 2 3 2
## [128,] 1 1 2 1
## [129,] 2 1 2 2
## [130,] 2 1 2 2
## [131,] 1 1 3 1
## [132,] 1 1 2 2
## [133,] 1 2 1 1
## [134,] 1 1 1 1
## [135,] 2 1 1 1
## [136,] 2 1 1 1
## [137,] 1 1 2 1
## [138,] 2 1 2 1
## [139,] 2 1 1 3
## [140,] 2 1 2 2
## [141,] 2 1 2 2
## [142,] 2 1 2 1
## [143,] 2 1 1 1
## [144,] 2 1 1 4
## [145,] 2 1 1 3
## [146,] 1 1 2 4
## [147,] 1 1 3 1
## [148,] 1 1 1 1
## [149,] 1 1 1 3
## [150,] 1 2 1 4
## [151,] 2 2 2 1
## [152,] 1 1 2 2
## [153,] 1 1 2 2
## [154,] 1 1 2 4
## [155,] 2 1 1 1
## [156,] 2 1 1 2
## [157,] 2 2 1 2
## [158,] 2 1 3 1
## [159,] 1 1 1 1
## [160,] 1 1 2 1
## [161,] 2 1 1 3
## [162,] 3 1 2 2
## [163,] 1 1 1 3
## [164,] 2 1 3 3
## [165,] 2 1 3 2
## [166,] 2 1 1 2
## [167,] 2 1 1 2
## [168,] 2 2 3 2
## [169,] 2 1 1 1
## [170,] 2 2 1 1
## [171,] 2 1 1 1
## [172,] 1 1 2 1
## [173,] 2 1 2 2
## [174,] 1 1 1 3
## [175,] 2 2 2 2
## [176,] 3 1 2 3
## [177,] 2 1 2 2
## [178,] 2 1 1 3
## [179,] 3 2 3 4
## [180,] 1 1 2 2
## [181,] 1 2 1 4
## [182,] 2 2 2 1
## [183,] 2 1 2 3
## [184,] 1 1 1 2
## [185,] 1 1 1 3
## [186,] 1 2 1 1
## [187,] 1 1 1 1
## [188,] 2 1 1 1
## [189,] 1 1 1 2
## [190,] 2 1 1 2
## [191,] 2 1 3 3
## [192,] 2 1 2 3
## [193,] 1 1 3 3
## [194,] 2 1 2 3
## [195,] 2 1 2 2
## [196,] 1 1 1 1
## [197,] 2 1 2 2
## [198,] 1 1 1 3
## [199,] 2 2 2 2
## [200,] 1 1 1 1
## [201,] 1 1 1 1
## [202,] 2 1 1 2
## [203,] 2 1 1 4
## [204,] 2 1 1 3
## [205,] 2 1 1 1
## [206,] 3 1 1 2
## [207,] 2 1 3 1
## [208,] 1 1 3 1
## [209,] 2 2 1 2
## [210,] 1 1 3 2
## [211,] 1 2 3 3
## [212,] 1 1 2 1
## [213,] 2 1 3 1
## [214,] 2 1 2 1
## [215,] 2 1 1 4
## [216,] 1 1 2 2
## [217,] 1 1 1 2
## [218,] 3 1 1 2
## [219,] 2 1 1 1
## [220,] 1 1 1 3
## [221,] 1 1 1 2
## [222,] 2 1 3 2
## [223,] 2 1 2 1
## [224,] 1 1 1 3
## [225,] 1 1 1 1
## [226,] 1 1 2 3
## [227,] 2 2 1 1
## [228,] 1 1 2 1
## [229,] 2 1 1 2
## [230,] 2 1 2 2
## [231,] 2 1 3 2
## [232,] 1 1 2 1
## [233,] 1 1 2 3
## [234,] 1 1 1 3
## [235,] 2 1 3 2
## [236,] 1 1 1 2
## [237,] 2 1 2 2
## [238,] 1 2 1 2
## [239,] 2 1 1 1
## [240,] 2 1 3 3
## [241,] 2 1 1 3
## [242,] 2 2 1 1
## [243,] 1 1 2 1
## [244,] 1 1 1 1
## [245,] 2 1 2 2
## [246,] 1 1 1 1
## [247,] 2 2 3 1
## [248,] 1 1 1 1
## [249,] 1 1 1 2
## [250,] 1 1 2 2
## [251,] 2 2 2 2
## [252,] 1 1 1 3
## [253,] 1 1 1 2
## [254,] 2 1 1 1
## [255,] 2 2 2 1
## [256,] 1 1 2 2
## [257,] 1 1 2 1
## [258,] 1 1 1 3
## [259,] 1 1 1 2
## [260,] 1 1 1 3
## [261,] 2 1 1 2
## [262,] 2 2 1 4
## [263,] 2 1 3 3
## [264,] 1 2 3 1
## [265,] 2 1 2 3
## [266,] 1 1 2 1
## [267,] 1 1 1 3
## [268,] 1 2 1 1
## [269,] 2 1 1 1
## [270,] 1 1 2 1
## [271,] 2 2 2 2
## [272,] 1 2 2 3
## [273,] 2 2 2 2
## [274,] 2 1 1 1
## [275,] 1 1 1 2
## [276,] 2 1 1 1
## [277,] 2 2 1 2
## [278,] 1 1 2 4
## [279,] 1 1 1 3
## [280,] 1 1 3 2
## [281,] 1 1 1 1
## [282,] 1 2 2 2
## [283,] 2 2 1 4
## [284,] 2 2 2 2
## [285,] 2 1 1 1
## [286,] 1 2 3 4
## [287,] 1 1 1 3
## [288,] 2 1 2 2
## [289,] 2 1 1 2
## [290,] 1 1 2 2
## [291,] 2 1 1 4
## [292,] 1 1 3 1
## [293,] 1 2 2 3
## [294,] 1 1 1 1
## [295,] 2 1 1 2
## [296,] 1 1 2 2
## [297,] 1 1 1 2
## [298,] 1 1 2 3
## [299,] 1 1 3 2
## [300,] 1 1 1 1
## [301,] 1 1 3 2
## [302,] 2 2 2 2
## [303,] 1 1 1 2
## [304,] 1 1 2 4
## [305,] 2 1 2 1
## [306,] 1 1 1 2
## [307,] 1 1 1 1
## [308,] 1 2 1 4
## [309,] 2 1 1 3
## [310,] 2 1 1 2
## [311,] 3 1 2 3
## [312,] 1 2 2 1
## [313,] 2 1 2 3
## [314,] 1 1 2 2
## [315,] 1 1 2 1
## [316,] 1 1 1 2
## [317,] 1 2 2 2
## [318,] 2 1 2 2
## [319,] 2 1 1 2
## [320,] 2 1 2 3
## [321,] 1 1 1 4
## [322,] 2 2 2 1
## [323,] 2 1 2 1
## [324,] 2 1 2 1
## [325,] 1 1 1 1
## [326,] 1 1 2 2
## [327,] 2 1 1 1
## [328,] 2 1 1 2
## [329,] 1 2 2 3
## [330,] 2 1 1 1
## [331,] 2 1 2 3
## [332,] 2 1 1 4
## [333,] 2 1 1 2
## [334,] 2 1 2 2
## [335,] 1 1 1 4
## [336,] 2 1 3 2
## [337,] 1 1 2 1
## [338,] 2 1 1 2
## [339,] 1 2 2 1
## [340,] 1 1 1 3
## [341,] 2 2 1 1
## [342,] 1 1 1 2
## [343,] 2 1 1 2
## [344,] 3 1 1 2
## [345,] 2 1 1 2
## [346,] 2 1 1 1
## [347,] 2 2 3 2
## [348,] 3 1 1 3
## [349,] 1 1 3 1
## [350,] 1 1 3 1
## [351,] 2 1 2 2
## [352,] 1 1 2 2
## [353,] 2 1 2 1
## [354,] 1 1 1 2
## [355,] 2 1 2 2
## [356,] 2 2 2 2
## [357,] 2 2 2 2
## [358,] 2 1 1 1
## [359,] 1 1 2 2
## [360,] 2 1 2 1
## [361,] 1 2 2 2
## [362,] 2 1 3 1
## [363,] 1 1 1 3
## [364,] 2 1 1 3
## [365,] 2 1 1 2
## [366,] 1 2 2 4
## [367,] 2 1 3 2
## [368,] 2 1 3 1
## [369,] 1 2 1 1
## [370,] 1 2 3 1
## [371,] 2 2 1 2
## [372,] 2 2 2 1
## [373,] 1 1 1 2
## [374,] 2 1 3 1
## [375,] 2 2 1 2
## [376,] 2 2 1 1
## [377,] 1 1 3 4
## [378,] 1 1 2 2
## [379,] 2 1 2 1
## [380,] 2 1 2 2
## [381,] 2 1 2 1
## [382,] 1 1 3 1
## [383,] 2 2 2 1
## [384,] 2 1 2 2
## [385,] 1 1 2 2
## [386,] 2 1 3 1
## [387,] 1 1 2 2
## [388,] 2 1 2 1
## [389,] 2 1 2 2
## [390,] 2 1 3 2
## [391,] 1 2 2 2
## [392,] 1 2 2 4
## [393,] 1 1 2 2
## [394,] 2 1 1 1
## [395,] 1 1 2 1
## [396,] 2 1 1 2
## [397,] 2 2 1 3
## [398,] 1 2 1 1
## [399,] 2 1 2 3
## [400,] 2 1 3 1
## [401,] 2 1 1 1
## [402,] 2 1 2 4
## [403,] 2 1 2 2
## [404,] 1 1 1 4
## [405,] 2 2 2 1
## [406,] 1 1 2 2
## [407,] 1 1 3 1
## [408,] 2 1 1 2
## [409,] 2 1 3 1
## [410,] 2 1 1 2
## [411,] 1 1 1 2
## [412,] 2 2 2 2
## [413,] 1 1 2 2
## [414,] 2 2 3 2
## [415,] 1 1 3 1
## [416,] 2 2 1 4
## [417,] 2 1 1 2
## [418,] 1 1 1 1
## [419,] 1 1 2 4
## [420,] 2 1 2 3
## [421,] 1 2 1 3
## [422,] 1 1 2 4
## [423,] 1 1 1 2
## [424,] 1 1 2 2
## [425,] 2 2 1 1
## [426,] 2 1 3 1
## [427,] 2 1 2 1
## [428,] 1 2 1 1
## [429,] 1 1 2 2
## [430,] 2 1 1 1
## [431,] 2 1 3 1
## [432,] 1 1 3 1
## [433,] 3 1 1 3
## [434,] 1 1 2 1
## [435,] 2 1 1 2
## [436,] 2 1 2 2
## [437,] 2 1 2 2
## [438,] 1 1 2 4
## [439,] 2 1 1 3
## [440,] 1 1 2 2
## [441,] 2 1 1 1
## [442,] 1 1 1 1
## [443,] 1 1 3 4
## [444,] 1 2 1 3
## [445,] 2 1 3 3
## [446,] 2 1 2 1
## [447,] 2 2 1 2
## [448,] 1 1 1 2
## [449,] 1 1 2 2
## [450,] 1 1 1 2
## [451,] 1 1 1 1
## [452,] 1 1 3 3
## [453,] 2 2 2 1
## [454,] 1 1 3 3
## [455,] 2 2 1 1
## [456,] 2 2 1 2
## [457,] 1 2 2 3
## [458,] 2 1 2 2
## [459,] 2 1 2 3
## [460,] 1 2 3 2
## [461,] 2 2 1 2
## [462,] 1 1 1 3
## [463,] 2 2 3 1
## [464,] 2 2 1 3
## [465,] 2 2 1 3
## [466,] 2 1 1 4
## [467,] 1 1 2 1
## [468,] 2 1 1 2
## [469,] 1 1 2 1
## [470,] 2 1 1 1
## [471,] 1 1 1 2
## [472,] 1 1 1 1
## [473,] 1 1 3 1
## [474,] 2 1 3 2
## [475,] 2 2 1 1
## [476,] 2 1 2 1
## [477,] 1 1 2 3
## [478,] 2 1 3 2
## [479,] 1 1 2 2
## [480,] 1 1 2 1
## [481,] 2 2 2 4
## [482,] 1 1 2 3
## [483,] 2 1 1 4
## [484,] 2 1 1 1
## [485,] 1 1 1 1
## [486,] 1 1 1 2
## [487,] 1 1 1 4
## [488,] 2 1 1 1
## [489,] 2 2 2 1
## [490,] 1 1 2 2
## [491,] 1 1 2 3
## [492,] 1 1 2 2
## [493,] 2 1 2 2
## [494,] 1 1 3 1
## [495,] 2 1 1 2
## [496,] 2 1 1 3
## [497,] 1 1 2 2
## [498,] 2 1 1 4
## [499,] 1 1 2 2
## [500,] 2 2 3 1
## [501,] 2 1 1 1
## [502,] 1 1 2 1
## [503,] 1 1 3 4
## [504,] 1 2 1 2
## [505,] 1 1 1 1
## [506,] 1 1 1 4
## [507,] 1 1 2 3
## [508,] 1 1 1 4
## [509,] 2 1 1 1
## [510,] 1 1 3 2
## [511,] 2 2 2 1
## [512,] 3 1 1 2
## [513,] 1 1 2 4
## [514,] 2 2 2 2
## [515,] 1 1 1 2
## [516,] 1 1 2 2
## [517,] 2 1 2 1
## [518,] 1 1 1 1
## [519,] 1 1 3 1
## [520,] 2 2 2 1
## [521,] 1 2 2 1
## [522,] 2 1 1 2
## [523,] 1 1 1 2
## [524,] 3 1 2 2
## [525,] 1 1 2 1
## [526,] 2 1 2 2
## [527,] 1 1 1 4
## [528,] 1 1 2 1
## [529,] 2 1 1 2
## [530,] 1 1 1 3
## [531,] 2 1 2 3
## [532,] 1 1 2 4
## [533,] 2 2 1 2
## [534,] 2 1 1 2
## [535,] 2 1 2 1
## [536,] 1 2 1 2
## [537,] 2 1 2 1
## [538,] 1 2 2 1
## [539,] 2 1 3 2
## [540,] 2 1 2 4
## [541,] 1 1 2 1
## [542,] 1 2 2 2
## [543,] 2 1 2 1
## [544,] 1 1 2 2
## [545,] 1 1 3 1
## [546,] 1 1 1 3
## [547,] 2 2 2 3
## [548,] 2 1 1 2
## [549,] 1 1 3 2
## [550,] 2 1 2 1
## [551,] 1 2 2 2
## [552,] 1 2 3 2
## [553,] 1 2 2 3
## [554,] 1 1 2 2
## [555,] 3 1 1 4
## [556,] 2 1 2 4
## [557,] 1 1 1 1
## [558,] 2 1 3 1
## [559,] 2 1 1 2
## [560,] 1 1 1 2
## [561,] 1 2 1 2
## [562,] 3 1 2 1
## [563,] 1 1 2 4
## [564,] 2 2 1 3
## [565,] 2 1 2 2
## [566,] 1 1 3 3
## [567,] 2 1 3 2
## [568,] 2 1 2 1
## [569,] 2 1 3 2
## [570,] 2 1 1 4
## [571,] 2 1 2 3
## [572,] 2 1 1 3
## [573,] 2 1 2 2
## [574,] 2 1 1 1
## [575,] 3 1 3 1
## [576,] 2 1 1 3
## [577,] 2 1 1 2
## [578,] 1 2 1 1
## [579,] 2 2 1 2
## [580,] 1 2 2 2
## [581,] 1 1 2 3
## [582,] 2 1 1 2
## [583,] 2 1 1 2
## [584,] 1 1 1 1
## [585,] 1 1 2 1
## [586,] 2 1 2 2
## [587,] 1 2 1 2
## [588,] 2 1 2 3
## [589,] 3 1 1 2
## [590,] 2 1 3 1
## [591,] 1 1 3 1
## [592,] 1 1 1 2
## [593,] 1 2 1 3
## [594,] 1 2 3 1
## [595,] 2 2 2 2
## [596,] 2 1 1 1
## [597,] 2 1 1 1
## [598,] 2 1 1 1
## [599,] 1 2 3 3
## [600,] 2 1 1 2
## [601,] 2 1 1 2
## [602,] 3 1 1 2
## [603,] 1 1 3 4
## [604,] 1 1 1 4
## [605,] 3 1 3 3
## [606,] 2 1 2 1
## [607,] 2 1 2 1
## [608,] 1 1 3 1
## [609,] 1 1 1 1
## [610,] 2 1 3 2
## [611,] 1 1 1 3
## [612,] 2 1 1 2
## [613,] 2 1 1 3
## [614,] 1 1 1 1
## [615,] 1 1 2 2
## [616,] 1 1 1 1
## [617,] 2 1 1 1
## [618,] 1 1 1 2
## [619,] 2 1 2 1
## [620,] 2 1 2 2
## [621,] 1 1 1 4
## [622,] 1 1 2 3
## [623,] 1 1 1 1
## [624,] 1 1 2 3
## [625,] 1 1 2 1
## [626,] 1 1 3 2
## [627,] 2 1 2 1
## [628,] 2 1 1 1
## [629,] 2 1 1 3
## [630,] 2 2 1 2
## [631,] 1 1 2 3
## [632,] 1 1 1 3
## [633,] 2 1 3 1
## [634,] 2 1 2 3
## [635,] 1 1 3 2
## [636,] 2 1 3 3
## [637,] 1 1 1 1
## [638,] 1 1 1 4
## [639,] 1 2 1 3
## [640,] 1 1 3 2
## [641,] 1 2 2 2
## [642,] 2 1 2 1
## [643,] 1 1 1 2
## [644,] 1 1 1 2
## [645,] 2 1 1 1
## [646,] 1 2 2 4
## [647,] 1 1 3 2
## [648,] 1 1 3 4
## [649,] 1 1 2 2
## [650,] 1 1 1 1
## [651,] 1 1 1 1
## [652,] 1 2 2 3
## [653,] 1 1 2 1
## [654,] 1 1 1 2
## [655,] 1 1 2 3
## [656,] 1 1 3 1
## [657,] 2 2 2 1
## [658,] 1 1 1 1
## [659,] 1 2 2 3
## [660,] 2 1 2 1
## [661,] 1 1 2 2
## [662,] 2 1 2 1
## [663,] 2 1 1 4
## [664,] 1 1 1 2
## [665,] 2 1 1 2
## [666,] 1 1 2 2
## [667,] 1 2 2 4
## [668,] 1 1 1 2
## [669,] 2 1 2 1
## [670,] 2 1 2 1
## [671,] 1 1 2 3
## [672,] 3 1 2 2
## [673,] 1 1 1 1
## [674,] 2 1 3 3
## [675,] 1 1 3 2
## [676,] 1 1 1 1
## [677,] 1 1 2 1
## [678,] 2 1 2 4
## [679,] 1 2 2 3
## [680,] 1 1 2 1
## [681,] 3 1 3 4
## [682,] 2 1 3 4
## [683,] 1 1 3 4
## [684,] 1 2 1 2
## [685,] 2 1 1 1
## [686,] 1 1 3 1
## [687,] 1 2 1 2
## [688,] 2 2 3 3
## [689,] 2 1 2 2
## [690,] 1 1 1 4
## [691,] 2 2 1 2
## [692,] 1 1 1 1
## [693,] 2 1 2 2
## [694,] 1 1 1 2
## [695,] 2 1 1 2
## [696,] 1 1 2 1
## [697,] 3 1 1 3
## [698,] 3 1 2 2
## [699,] 1 1 1 2
## [700,] 2 1 1 1
## [701,] 1 1 3 1
## [702,] 2 1 2 2
## [703,] 2 1 1 3
## [704,] 2 2 3 1
## [705,] 1 1 1 2
## [706,] 1 1 1 1
## [707,] 1 1 3 3
## [708,] 2 1 2 1
## [709,] 2 1 2 4
## [710,] 3 1 3 2
## [711,] 2 1 1 2
## [712,] 2 1 2 2
## [713,] 2 2 1 1
## [714,] 1 2 1 1
## [715,] 1 1 1 1
## [716,] 2 1 2 3
## [717,] 2 1 2 2
## [718,] 1 2 2 3
## [719,] 1 1 3 1
## [720,] 2 2 1 2
## [721,] 1 2 2 1
## [722,] 2 2 3 2
## [723,] 2 1 2 1
## [724,] 1 1 2 1
## [725,] 2 1 3 2
## [726,] 1 1 2 1
## [727,] 2 2 1 1
## [728,] 2 1 2 2
## [729,] 3 1 1 4
## [730,] 2 1 1 2
## [731,] 1 2 2 1
## [732,] 2 1 2 3
## [733,] 2 1 3 3
## [734,] 2 1 1 1
## [735,] 1 1 3 1
## [736,] 2 2 1 2
## [737,] 1 1 1 1
## [738,] 2 2 1 2
## [739,] 3 1 1 2
## [740,] 2 1 3 1
## [741,] 1 2 3 4
## [742,] 1 1 3 1
## [743,] 1 1 1 1
## [744,] 1 2 2 2
## [745,] 1 1 3 2
## [746,] 1 1 2 3
## [747,] 2 1 2 1
## [748,] 2 1 2 2
## [749,] 1 1 2 2
## [750,] 1 1 2 1
## [751,] 1 1 3 1
## [752,] 1 1 1 2
## [753,] 2 2 2 2
## [754,] 2 1 1 3
## [755,] 1 1 2 1
## [756,] 2 2 3 3
## [757,] 2 1 2 1
## [758,] 1 1 1 3
## [759,] 2 1 1 2
## [760,] 1 2 1 1
## [761,] 2 2 2 4
## [762,] 1 1 2 1
## [763,] 2 1 1 2
## [764,] 2 2 2 2
## [765,] 2 1 1 3
## [766,] 2 2 3 3
## [767,] 2 1 3 4
## [768,] 2 1 3 1
## [769,] 1 1 1 2
## [770,] 2 1 1 2
## [771,] 1 1 2 1
## [772,] 1 1 2 2
## [773,] 1 1 3 3
## [774,] 2 1 1 2
## [775,] 1 2 1 1
## [776,] 2 1 1 1
## [777,] 2 1 3 2
## [778,] 3 2 3 2
## [779,] 2 1 2 1
## [780,] 1 2 2 1
## [781,] 1 1 3 2
## [782,] 1 1 1 1
## [783,] 1 2 1 4
## [784,] 2 1 2 2
## [785,] 2 1 1 2
## [786,] 1 1 3 4
## [787,] 2 1 2 1
## [788,] 2 1 1 1
## [789,] 2 1 1 3
## [790,] 2 1 1 1
## [791,] 2 1 1 3
## [792,] 2 1 1 1
## [793,] 1 1 1 1
## [794,] 1 1 1 3
## [795,] 1 1 3 1
## [796,] 2 1 2 4
## [797,] 2 1 3 1
## [798,] 2 1 3 3
## [799,] 1 1 2 1
## [800,] 1 1 2 1
## [801,] 2 1 2 1
## [802,] 1 1 1 3
## [803,] 2 1 1 4
## [804,] 1 1 2 1
## [805,] 1 2 2 2
## [806,] 1 1 1 1
## [807,] 1 1 2 1
## [808,] 1 1 3 2
## [809,] 2 2 2 2
## [810,] 1 1 2 1
## [811,] 2 1 2 2
## [812,] 1 2 2 2
## [813,] 1 1 2 1
## [814,] 1 1 3 2
## [815,] 2 1 1 2
## [816,] 1 1 3 3
## [817,] 1 1 1 2
## [818,] 1 1 2 2
## [819,] 2 1 1 1
## [820,] 2 1 1 1
## [821,] 2 1 1 3
## [822,] 2 1 2 3
## [823,] 1 1 3 1
## [824,] 2 1 1 2
## [825,] 3 1 3 4
## [826,] 2 2 2 2
## [827,] 2 1 3 2
## [828,] 1 1 2 1
## [829,] 1 1 1 1
## [830,] 1 1 3 4
## [831,] 1 1 2 1
## [832,] 1 1 3 2
## [833,] 2 2 1 2
## [834,] 3 1 3 1
## [835,] 3 2 1 2
## [836,] 1 1 1 2
## [837,] 2 1 1 4
## [838,] 1 1 3 2
## [839,] 2 1 1 1
## [840,] 2 1 2 3
## [841,] 2 2 2 2
## [842,] 2 2 1 2
## [843,] 1 1 1 1
## [844,] 1 2 1 3
## [845,] 1 2 1 2
## [846,] 2 1 3 2
## [847,] 2 1 1 1
## [848,] 2 1 1 1
## [849,] 3 1 1 2
## [850,] 2 1 1 1
## [851,] 1 1 2 2
## [852,] 1 1 3 1
## [853,] 2 1 2 1
## [854,] 1 1 2 3
## [855,] 1 1 1 2
## [856,] 1 1 1 2
## [857,] 1 2 1 2
## [858,] 2 2 3 3
## [859,] 2 2 1 2
## [860,] 1 1 2 2
## [861,] 1 1 3 2
## [862,] 2 1 1 1
## [863,] 1 1 2 2
## [864,] 1 1 2 2
## [865,] 1 2 1 2
## [866,] 2 1 2 3
## [867,] 1 1 1 1
## [868,] 1 1 3 1
## [869,] 2 1 1 3
## [870,] 2 2 1 3
## [871,] 3 2 2 2
## [872,] 2 2 3 3
## [873,] 1 1 1 4
## [874,] 1 1 1 2
## [875,] 2 1 1 3
## [876,] 1 1 3 2
## [877,] 2 1 1 2
## [878,] 1 1 2 2
## [879,] 2 2 1 1
## [880,] 1 1 1 2
## [881,] 2 1 1 1
## [882,] 2 2 1 3
## [883,] 3 1 1 1
## [884,] 2 1 2 2
## [885,] 1 1 2 3
## [886,] 2 1 1 2
## [887,] 1 1 1 2
## [888,] 2 1 2 4
## [889,] 3 2 1 1
## [890,] 2 2 1 2
## [891,] 2 2 1 2
## [892,] 2 2 2 2
## [893,] 2 1 1 2
## [894,] 1 1 2 1
## [895,] 2 2 2 1
## [896,] 1 1 1 1
## [897,] 2 2 2 2
## [898,] 2 1 2 2
## [899,] 1 1 1 3
## [900,] 1 1 3 4
## [901,] 2 1 3 3
## [902,] 2 1 1 2
## [903,] 2 1 1 3
## [904,] 1 1 1 2
## [905,] 1 2 3 2
## [906,] 2 2 2 1
## [907,] 1 2 1 1
## [908,] 1 1 1 2
## [909,] 1 2 1 1
## [910,] 1 1 1 1
## [911,] 2 1 1 4
## [912,] 2 1 1 4
## [913,] 2 1 3 2
## [914,] 2 2 2 2
## [915,] 1 2 2 1
## [916,] 1 1 1 2
## [917,] 2 1 2 2
## [918,] 2 1 2 2
## [919,] 2 2 3 1
## [920,] 1 1 2 2
## [921,] 2 2 2 4
## [922,] 1 1 1 4
## [923,] 2 1 3 3
## [924,] 2 1 3 2
## [925,] 3 2 3 1
## [926,] 3 2 2 4
## [927,] 2 1 1 2
## [928,] 1 1 2 1
## [929,] 1 1 2 2
## [930,] 1 1 2 3
## [931,] 2 1 2 3
## [932,] 1 2 3 1
## [933,] 1 1 1 1
## [934,] 1 1 2 2
## [935,] 2 1 3 2
## [936,] 2 2 3 3
## [937,] 2 1 2 1
## [938,] 1 1 2 1
## [939,] 2 1 1 2
## [940,] 1 1 2 4
## [941,] 3 2 2 3
## [942,] 2 1 1 2
## [943,] 1 1 3 2
## [944,] 2 1 2 2
## [945,] 1 1 1 1
## [946,] 2 2 3 4
## [947,] 1 1 1 1
## [948,] 1 2 2 2
## [949,] 1 1 1 3
## [950,] 1 1 1 1
## [951,] 1 1 1 2
## [952,] 1 1 2 1
## [953,] 1 2 3 2
## [954,] 1 1 1 2
## [955,] 2 1 2 3
## [956,] 1 2 3 2
## [957,] 1 1 2 2
## [958,] 1 1 2 2
## [959,] 2 2 2 2
## [960,] 1 1 1 3
## [961,] 2 2 2 2
## [962,] 1 1 2 3
## [963,] 2 2 2 3
## [964,] 1 1 3 2
## [965,] 3 1 2 2
## [966,] 2 1 1 3
## [967,] 3 1 3 2
## [968,] 2 1 1 4
## [969,] 1 1 2 2
## [970,] 1 2 1 1
## [971,] 1 1 1 1
## [972,] 1 1 2 2
## [973,] 1 1 1 2
## [974,] 2 1 2 3
## [975,] 2 1 1 1
## [976,] 1 1 1 1
## [977,] 1 1 2 1
## [978,] 1 2 2 2
## [979,] 1 1 1 1
## [980,] 2 1 2 2
## [981,] 1 1 3 2
## [982,] 2 1 1 1
## [983,] 1 2 1 2
## [984,] 2 1 3 3
## [985,] 2 1 1 2
## [986,] 2 2 1 3
## [987,] 2 1 3 3
## [988,] 1 2 1 2
## [989,] 2 1 1 1
## [990,] 2 2 1 2
## [991,] 2 1 2 3
## [992,] 2 1 2 2
## [993,] 2 1 1 1
## [994,] 2 1 2 2
## [995,] 1 1 2 2
## [996,] 1 1 1 2
## [997,] 1 2 3 2
## [998,] 2 1 2 1
## [999,] 2 2 1 1
## [1000,] 1 1 2 1
## internet_quality extracurricular_participation
## [1,] 1 2
## [2,] 1 1
## [3,] 3 1
## [4,] 2 2
## [5,] 2 1
## [6,] 1 1
## [7,] 3 1
## [8,] 1 1
## [9,] 2 1
## [10,] 2 2
## [11,] 2 1
## [12,] 1 1
## [13,] 2 1
## [14,] 2 1
## [15,] 1 1
## [16,] 1 1
## [17,] 3 2
## [18,] 1 2
## [19,] 2 1
## [20,] 1 1
## [21,] 2 1
## [22,] 2 1
## [23,] 1 1
## [24,] 2 1
## [25,] 1 1
## [26,] 1 2
## [27,] 3 1
## [28,] 1 1
## [29,] 3 2
## [30,] 3 2
## [31,] 1 1
## [32,] 1 2
## [33,] 2 1
## [34,] 1 1
## [35,] 2 1
## [36,] 1 1
## [37,] 2 1
## [38,] 1 1
## [39,] 2 1
## [40,] 1 1
## [41,] 2 1
## [42,] 1 1
## [43,] 3 2
## [44,] 2 1
## [45,] 3 1
## [46,] 1 2
## [47,] 1 2
## [48,] 2 2
## [49,] 2 1
## [50,] 1 1
## [51,] 2 2
## [52,] 1 1
## [53,] 1 1
## [54,] 2 2
## [55,] 2 1
## [56,] 2 1
## [57,] 1 1
## [58,] 1 2
## [59,] 1 2
## [60,] 1 2
## [61,] 1 1
## [62,] 2 1
## [63,] 2 1
## [64,] 1 1
## [65,] 3 2
## [66,] 2 1
## [67,] 1 1
## [68,] 2 1
## [69,] 3 1
## [70,] 1 1
## [71,] 2 2
## [72,] 3 2
## [73,] 1 2
## [74,] 1 2
## [75,] 2 1
## [76,] 2 2
## [77,] 1 2
## [78,] 3 1
## [79,] 2 1
## [80,] 1 1
## [81,] 2 1
## [82,] 3 1
## [83,] 3 1
## [84,] 2 2
## [85,] 1 1
## [86,] 2 1
## [87,] 3 1
## [88,] 1 2
## [89,] 2 1
## [90,] 1 2
## [91,] 2 1
## [92,] 1 1
## [93,] 2 1
## [94,] 2 1
## [95,] 1 1
## [96,] 2 1
## [97,] 2 1
## [98,] 1 1
## [99,] 2 2
## [100,] 2 1
## [101,] 1 2
## [102,] 1 1
## [103,] 1 1
## [104,] 1 1
## [105,] 2 1
## [106,] 1 2
## [107,] 2 2
## [108,] 1 1
## [109,] 1 2
## [110,] 2 1
## [111,] 1 2
## [112,] 1 1
## [113,] 3 2
## [114,] 1 1
## [115,] 1 1
## [116,] 2 1
## [117,] 1 2
## [118,] 2 1
## [119,] 2 2
## [120,] 1 1
## [121,] 1 1
## [122,] 2 1
## [123,] 2 1
## [124,] 1 1
## [125,] 1 1
## [126,] 1 1
## [127,] 3 1
## [128,] 2 1
## [129,] 2 1
## [130,] 1 2
## [131,] 2 1
## [132,] 2 1
## [133,] 1 2
## [134,] 3 2
## [135,] 2 1
## [136,] 2 1
## [137,] 2 1
## [138,] 3 1
## [139,] 1 1
## [140,] 3 1
## [141,] 2 1
## [142,] 2 1
## [143,] 3 2
## [144,] 2 1
## [145,] 2 2
## [146,] 2 1
## [147,] 2 1
## [148,] 3 2
## [149,] 2 1
## [150,] 3 1
## [151,] 1 1
## [152,] 2 1
## [153,] 2 1
## [154,] 1 1
## [155,] 2 1
## [156,] 2 1
## [157,] 2 1
## [158,] 3 1
## [159,] 2 2
## [160,] 1 1
## [161,] 1 1
## [162,] 1 1
## [163,] 1 1
## [164,] 2 1
## [165,] 1 2
## [166,] 2 1
## [167,] 1 1
## [168,] 2 1
## [169,] 2 2
## [170,] 2 1
## [171,] 2 1
## [172,] 2 2
## [173,] 2 1
## [174,] 2 2
## [175,] 3 1
## [176,] 2 1
## [177,] 1 2
## [178,] 1 2
## [179,] 2 1
## [180,] 1 1
## [181,] 2 1
## [182,] 1 1
## [183,] 3 1
## [184,] 1 2
## [185,] 3 1
## [186,] 2 1
## [187,] 1 1
## [188,] 1 1
## [189,] 3 2
## [190,] 1 2
## [191,] 2 1
## [192,] 1 1
## [193,] 2 1
## [194,] 2 1
## [195,] 2 1
## [196,] 2 1
## [197,] 3 1
## [198,] 1 2
## [199,] 2 2
## [200,] 2 1
## [201,] 2 1
## [202,] 2 1
## [203,] 1 1
## [204,] 3 1
## [205,] 2 2
## [206,] 2 1
## [207,] 1 2
## [208,] 2 2
## [209,] 1 1
## [210,] 1 2
## [211,] 2 1
## [212,] 2 2
## [213,] 1 2
## [214,] 3 1
## [215,] 1 1
## [216,] 2 2
## [217,] 1 2
## [218,] 2 1
## [219,] 2 1
## [220,] 2 1
## [221,] 1 1
## [222,] 2 2
## [223,] 1 1
## [224,] 1 1
## [225,] 3 1
## [226,] 1 2
## [227,] 2 1
## [228,] 1 2
## [229,] 1 2
## [230,] 2 2
## [231,] 3 2
## [232,] 2 1
## [233,] 1 1
## [234,] 3 2
## [235,] 2 1
## [236,] 3 1
## [237,] 2 1
## [238,] 1 1
## [239,] 3 2
## [240,] 3 1
## [241,] 3 1
## [242,] 3 1
## [243,] 2 1
## [244,] 1 1
## [245,] 1 1
## [246,] 1 2
## [247,] 2 1
## [248,] 2 2
## [249,] 2 1
## [250,] 2 2
## [251,] 1 1
## [252,] 1 1
## [253,] 2 1
## [254,] 2 1
## [255,] 1 1
## [256,] 1 1
## [257,] 2 1
## [258,] 2 1
## [259,] 1 1
## [260,] 2 1
## [261,] 1 1
## [262,] 3 2
## [263,] 1 1
## [264,] 1 1
## [265,] 3 1
## [266,] 2 1
## [267,] 1 2
## [268,] 2 1
## [269,] 3 1
## [270,] 1 1
## [271,] 2 2
## [272,] 2 1
## [273,] 2 1
## [274,] 2 2
## [275,] 1 2
## [276,] 1 1
## [277,] 2 2
## [278,] 2 1
## [279,] 2 2
## [280,] 2 1
## [281,] 2 1
## [282,] 1 1
## [283,] 2 1
## [284,] 2 1
## [285,] 2 1
## [286,] 3 2
## [287,] 1 1
## [288,] 3 2
## [289,] 1 1
## [290,] 2 2
## [291,] 3 1
## [292,] 1 1
## [293,] 1 2
## [294,] 2 2
## [295,] 1 1
## [296,] 1 1
## [297,] 1 1
## [298,] 1 1
## [299,] 1 2
## [300,] 1 1
## [301,] 2 2
## [302,] 1 1
## [303,] 3 1
## [304,] 2 1
## [305,] 1 1
## [306,] 2 2
## [307,] 1 1
## [308,] 2 1
## [309,] 2 2
## [310,] 2 2
## [311,] 1 1
## [312,] 1 1
## [313,] 1 1
## [314,] 2 1
## [315,] 2 2
## [316,] 3 1
## [317,] 3 1
## [318,] 1 2
## [319,] 3 1
## [320,] 1 2
## [321,] 3 2
## [322,] 2 2
## [323,] 2 1
## [324,] 2 1
## [325,] 1 1
## [326,] 2 1
## [327,] 2 1
## [328,] 3 1
## [329,] 2 1
## [330,] 1 1
## [331,] 1 1
## [332,] 1 2
## [333,] 3 1
## [334,] 2 1
## [335,] 1 1
## [336,] 1 2
## [337,] 3 2
## [338,] 2 1
## [339,] 1 2
## [340,] 2 2
## [341,] 2 1
## [342,] 1 1
## [343,] 1 1
## [344,] 2 1
## [345,] 3 2
## [346,] 3 1
## [347,] 2 2
## [348,] 1 1
## [349,] 1 1
## [350,] 1 1
## [351,] 1 1
## [352,] 2 1
## [353,] 2 2
## [354,] 2 1
## [355,] 2 1
## [356,] 1 1
## [357,] 1 1
## [358,] 1 1
## [359,] 1 1
## [360,] 2 2
## [361,] 2 1
## [362,] 1 2
## [363,] 3 1
## [364,] 3 1
## [365,] 1 1
## [366,] 3 1
## [367,] 1 2
## [368,] 2 1
## [369,] 2 1
## [370,] 1 1
## [371,] 1 2
## [372,] 1 1
## [373,] 2 1
## [374,] 2 2
## [375,] 2 1
## [376,] 1 2
## [377,] 2 1
## [378,] 3 2
## [379,] 2 1
## [380,] 1 1
## [381,] 1 1
## [382,] 2 1
## [383,] 1 1
## [384,] 3 2
## [385,] 3 1
## [386,] 3 1
## [387,] 3 1
## [388,] 3 2
## [389,] 1 2
## [390,] 1 1
## [391,] 2 1
## [392,] 1 1
## [393,] 3 1
## [394,] 1 1
## [395,] 2 1
## [396,] 2 1
## [397,] 1 1
## [398,] 2 2
## [399,] 2 2
## [400,] 2 2
## [401,] 2 1
## [402,] 2 2
## [403,] 2 2
## [404,] 2 1
## [405,] 1 2
## [406,] 2 2
## [407,] 2 2
## [408,] 3 2
## [409,] 2 1
## [410,] 1 1
## [411,] 1 1
## [412,] 2 1
## [413,] 1 1
## [414,] 1 1
## [415,] 3 2
## [416,] 1 2
## [417,] 1 1
## [418,] 1 2
## [419,] 1 2
## [420,] 2 1
## [421,] 2 1
## [422,] 3 2
## [423,] 2 2
## [424,] 3 1
## [425,] 3 1
## [426,] 3 2
## [427,] 2 1
## [428,] 2 1
## [429,] 1 1
## [430,] 1 1
## [431,] 1 2
## [432,] 1 1
## [433,] 2 1
## [434,] 1 2
## [435,] 2 1
## [436,] 1 2
## [437,] 2 2
## [438,] 2 1
## [439,] 1 2
## [440,] 2 1
## [441,] 2 1
## [442,] 1 1
## [443,] 1 1
## [444,] 2 1
## [445,] 1 2
## [446,] 3 1
## [447,] 1 1
## [448,] 2 2
## [449,] 2 2
## [450,] 2 2
## [451,] 1 1
## [452,] 3 1
## [453,] 2 1
## [454,] 2 1
## [455,] 3 1
## [456,] 1 1
## [457,] 3 1
## [458,] 2 1
## [459,] 2 1
## [460,] 2 1
## [461,] 2 1
## [462,] 3 1
## [463,] 2 1
## [464,] 2 1
## [465,] 1 1
## [466,] 2 1
## [467,] 1 1
## [468,] 2 1
## [469,] 2 2
## [470,] 2 2
## [471,] 2 1
## [472,] 3 1
## [473,] 1 1
## [474,] 1 1
## [475,] 2 1
## [476,] 2 2
## [477,] 2 2
## [478,] 3 1
## [479,] 2 2
## [480,] 2 1
## [481,] 2 1
## [482,] 3 1
## [483,] 3 1
## [484,] 3 1
## [485,] 2 2
## [486,] 2 1
## [487,] 2 1
## [488,] 1 2
## [489,] 1 2
## [490,] 2 2
## [491,] 2 2
## [492,] 2 1
## [493,] 2 1
## [494,] 1 1
## [495,] 2 1
## [496,] 2 1
## [497,] 1 1
## [498,] 1 1
## [499,] 1 1
## [500,] 3 1
## [501,] 2 1
## [502,] 3 1
## [503,] 1 2
## [504,] 1 1
## [505,] 2 1
## [506,] 1 2
## [507,] 2 1
## [508,] 3 1
## [509,] 3 2
## [510,] 1 1
## [511,] 1 2
## [512,] 1 1
## [513,] 3 2
## [514,] 2 1
## [515,] 2 2
## [516,] 3 2
## [517,] 3 2
## [518,] 2 1
## [519,] 2 1
## [520,] 1 1
## [521,] 2 1
## [522,] 2 1
## [523,] 2 2
## [524,] 1 1
## [525,] 1 2
## [526,] 3 1
## [527,] 2 1
## [528,] 2 1
## [529,] 1 2
## [530,] 2 1
## [531,] 2 2
## [532,] 2 2
## [533,] 2 2
## [534,] 2 1
## [535,] 1 1
## [536,] 2 1
## [537,] 2 2
## [538,] 1 1
## [539,] 3 1
## [540,] 2 2
## [541,] 1 2
## [542,] 2 1
## [543,] 3 1
## [544,] 3 1
## [545,] 1 1
## [546,] 1 2
## [547,] 2 2
## [548,] 2 1
## [549,] 3 1
## [550,] 1 1
## [551,] 1 1
## [552,] 1 1
## [553,] 2 2
## [554,] 1 1
## [555,] 3 1
## [556,] 1 2
## [557,] 3 1
## [558,] 3 2
## [559,] 1 2
## [560,] 2 1
## [561,] 2 1
## [562,] 2 2
## [563,] 1 1
## [564,] 1 1
## [565,] 1 1
## [566,] 2 1
## [567,] 2 2
## [568,] 3 2
## [569,] 3 2
## [570,] 2 2
## [571,] 2 2
## [572,] 2 2
## [573,] 2 1
## [574,] 2 1
## [575,] 1 1
## [576,] 2 2
## [577,] 2 1
## [578,] 2 2
## [579,] 1 1
## [580,] 1 2
## [581,] 1 1
## [582,] 1 1
## [583,] 2 1
## [584,] 3 2
## [585,] 1 1
## [586,] 2 1
## [587,] 3 2
## [588,] 1 1
## [589,] 1 1
## [590,] 2 1
## [591,] 1 1
## [592,] 2 1
## [593,] 1 1
## [594,] 2 1
## [595,] 1 1
## [596,] 1 1
## [597,] 3 1
## [598,] 3 1
## [599,] 1 2
## [600,] 3 1
## [601,] 1 2
## [602,] 2 2
## [603,] 1 2
## [604,] 1 1
## [605,] 2 2
## [606,] 2 1
## [607,] 3 1
## [608,] 1 2
## [609,] 2 2
## [610,] 3 1
## [611,] 2 1
## [612,] 3 1
## [613,] 2 1
## [614,] 1 1
## [615,] 2 1
## [616,] 1 1
## [617,] 2 1
## [618,] 3 1
## [619,] 1 2
## [620,] 2 1
## [621,] 1 1
## [622,] 2 1
## [623,] 1 2
## [624,] 2 1
## [625,] 1 2
## [626,] 2 2
## [627,] 2 2
## [628,] 1 1
## [629,] 2 2
## [630,] 2 1
## [631,] 1 2
## [632,] 2 1
## [633,] 3 2
## [634,] 2 2
## [635,] 1 1
## [636,] 3 1
## [637,] 1 2
## [638,] 2 2
## [639,] 2 2
## [640,] 2 1
## [641,] 1 1
## [642,] 3 1
## [643,] 2 2
## [644,] 2 1
## [645,] 1 2
## [646,] 1 2
## [647,] 1 1
## [648,] 1 1
## [649,] 2 2
## [650,] 1 1
## [651,] 2 1
## [652,] 1 1
## [653,] 1 1
## [654,] 2 1
## [655,] 2 1
## [656,] 1 1
## [657,] 2 1
## [658,] 1 2
## [659,] 2 1
## [660,] 1 2
## [661,] 2 2
## [662,] 3 1
## [663,] 1 2
## [664,] 2 1
## [665,] 2 1
## [666,] 1 1
## [667,] 1 2
## [668,] 1 2
## [669,] 2 1
## [670,] 2 1
## [671,] 2 2
## [672,] 1 2
## [673,] 2 1
## [674,] 1 2
## [675,] 3 1
## [676,] 2 1
## [677,] 2 1
## [678,] 2 1
## [679,] 2 2
## [680,] 2 1
## [681,] 2 1
## [682,] 1 1
## [683,] 1 1
## [684,] 2 1
## [685,] 2 2
## [686,] 1 1
## [687,] 1 1
## [688,] 1 1
## [689,] 3 1
## [690,] 2 1
## [691,] 1 1
## [692,] 2 1
## [693,] 1 2
## [694,] 1 1
## [695,] 3 1
## [696,] 2 1
## [697,] 2 1
## [698,] 2 1
## [699,] 3 1
## [700,] 1 1
## [701,] 3 2
## [702,] 1 2
## [703,] 2 1
## [704,] 2 1
## [705,] 2 2
## [706,] 1 2
## [707,] 1 1
## [708,] 1 1
## [709,] 3 1
## [710,] 2 2
## [711,] 2 1
## [712,] 1 1
## [713,] 1 1
## [714,] 2 1
## [715,] 2 2
## [716,] 2 1
## [717,] 1 2
## [718,] 1 2
## [719,] 2 1
## [720,] 2 1
## [721,] 1 1
## [722,] 2 1
## [723,] 2 1
## [724,] 1 1
## [725,] 1 2
## [726,] 1 1
## [727,] 3 2
## [728,] 2 1
## [729,] 1 2
## [730,] 2 1
## [731,] 2 1
## [732,] 3 1
## [733,] 1 1
## [734,] 2 1
## [735,] 2 1
## [736,] 2 1
## [737,] 1 1
## [738,] 1 2
## [739,] 2 2
## [740,] 2 2
## [741,] 1 2
## [742,] 2 1
## [743,] 1 2
## [744,] 2 2
## [745,] 2 2
## [746,] 1 1
## [747,] 2 1
## [748,] 1 1
## [749,] 1 1
## [750,] 3 2
## [751,] 3 1
## [752,] 1 1
## [753,] 2 2
## [754,] 2 1
## [755,] 3 1
## [756,] 2 1
## [757,] 2 1
## [758,] 2 2
## [759,] 2 2
## [760,] 1 2
## [761,] 1 2
## [762,] 2 2
## [763,] 3 1
## [764,] 3 2
## [765,] 3 1
## [766,] 1 1
## [767,] 1 1
## [768,] 1 1
## [769,] 3 1
## [770,] 2 1
## [771,] 2 1
## [772,] 1 1
## [773,] 3 1
## [774,] 3 2
## [775,] 1 1
## [776,] 1 1
## [777,] 1 1
## [778,] 2 2
## [779,] 1 1
## [780,] 1 1
## [781,] 1 2
## [782,] 2 1
## [783,] 2 1
## [784,] 2 1
## [785,] 2 1
## [786,] 1 1
## [787,] 1 1
## [788,] 2 2
## [789,] 3 1
## [790,] 2 1
## [791,] 2 1
## [792,] 2 1
## [793,] 3 2
## [794,] 2 1
## [795,] 1 1
## [796,] 3 2
## [797,] 1 2
## [798,] 2 2
## [799,] 1 1
## [800,] 1 2
## [801,] 3 2
## [802,] 2 1
## [803,] 2 1
## [804,] 2 2
## [805,] 1 2
## [806,] 1 2
## [807,] 2 2
## [808,] 1 2
## [809,] 2 1
## [810,] 2 2
## [811,] 1 1
## [812,] 1 1
## [813,] 2 1
## [814,] 1 1
## [815,] 1 1
## [816,] 2 1
## [817,] 1 1
## [818,] 2 2
## [819,] 3 2
## [820,] 2 1
## [821,] 3 1
## [822,] 3 1
## [823,] 2 1
## [824,] 2 1
## [825,] 1 1
## [826,] 1 1
## [827,] 2 1
## [828,] 1 1
## [829,] 2 1
## [830,] 2 2
## [831,] 2 1
## [832,] 1 2
## [833,] 1 2
## [834,] 2 1
## [835,] 3 2
## [836,] 1 1
## [837,] 3 2
## [838,] 3 1
## [839,] 1 2
## [840,] 1 1
## [841,] 2 2
## [842,] 1 1
## [843,] 1 1
## [844,] 3 1
## [845,] 2 2
## [846,] 1 2
## [847,] 2 2
## [848,] 2 1
## [849,] 3 1
## [850,] 1 1
## [851,] 1 2
## [852,] 2 1
## [853,] 2 1
## [854,] 2 2
## [855,] 1 1
## [856,] 2 1
## [857,] 3 2
## [858,] 3 2
## [859,] 2 2
## [860,] 2 1
## [861,] 3 2
## [862,] 3 2
## [863,] 3 1
## [864,] 3 2
## [865,] 1 2
## [866,] 2 1
## [867,] 2 2
## [868,] 2 1
## [869,] 2 1
## [870,] 1 1
## [871,] 2 1
## [872,] 2 2
## [873,] 1 1
## [874,] 2 1
## [875,] 1 1
## [876,] 2 1
## [877,] 2 1
## [878,] 1 1
## [879,] 2 1
## [880,] 3 1
## [881,] 2 1
## [882,] 1 1
## [883,] 3 1
## [884,] 1 1
## [885,] 2 1
## [886,] 3 1
## [887,] 2 2
## [888,] 3 1
## [889,] 2 2
## [890,] 2 1
## [891,] 1 1
## [892,] 1 2
## [893,] 2 1
## [894,] 2 1
## [895,] 2 2
## [896,] 1 1
## [897,] 1 1
## [898,] 2 2
## [899,] 1 1
## [900,] 1 1
## [901,] 1 2
## [902,] 2 2
## [903,] 2 1
## [904,] 1 1
## [905,] 3 2
## [906,] 3 2
## [907,] 1 1
## [908,] 1 1
## [909,] 2 1
## [910,] 1 1
## [911,] 1 1
## [912,] 2 1
## [913,] 1 1
## [914,] 2 1
## [915,] 3 1
## [916,] 1 1
## [917,] 2 1
## [918,] 2 1
## [919,] 1 1
## [920,] 2 2
## [921,] 2 1
## [922,] 1 1
## [923,] 1 2
## [924,] 2 1
## [925,] 1 2
## [926,] 2 1
## [927,] 2 2
## [928,] 2 1
## [929,] 1 1
## [930,] 1 2
## [931,] 2 1
## [932,] 1 2
## [933,] 1 1
## [934,] 1 1
## [935,] 3 2
## [936,] 2 1
## [937,] 1 2
## [938,] 2 1
## [939,] 3 1
## [940,] 2 1
## [941,] 1 1
## [942,] 2 1
## [943,] 2 1
## [944,] 3 1
## [945,] 2 2
## [946,] 1 1
## [947,] 2 2
## [948,] 2 2
## [949,] 2 1
## [950,] 2 1
## [951,] 1 1
## [952,] 3 1
## [953,] 1 1
## [954,] 1 1
## [955,] 2 2
## [956,] 1 1
## [957,] 2 1
## [958,] 1 1
## [959,] 1 1
## [960,] 2 1
## [961,] 1 1
## [962,] 2 1
## [963,] 1 1
## [964,] 2 1
## [965,] 3 2
## [966,] 1 2
## [967,] 2 2
## [968,] 2 1
## [969,] 1 1
## [970,] 1 1
## [971,] 1 2
## [972,] 1 1
## [973,] 2 1
## [974,] 2 1
## [975,] 3 1
## [976,] 1 1
## [977,] 2 2
## [978,] 1 2
## [979,] 2 2
## [980,] 3 1
## [981,] 2 2
## [982,] 1 1
## [983,] 2 1
## [984,] 1 1
## [985,] 1 1
## [986,] 2 2
## [987,] 3 1
## [988,] 1 1
## [989,] 1 2
## [990,] 1 1
## [991,] 2 1
## [992,] 2 1
## [993,] 3 1
## [994,] 2 1
## [995,] 1 1
## [996,] 2 2
## [997,] 1 2
## [998,] 2 2
## [999,] 1 1
## [1000,] 1 1
siswa2 <- data.frame(siswa, siswa_matrix)
siswa2
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 1 S1000 23 Female 0.0 1.2 1.1
## 2 S1001 20 Female 6.9 2.8 2.3
## 3 S1002 21 Male 1.4 3.1 1.3
## 4 S1003 23 Female 1.0 3.9 1.0
## 5 S1004 19 Female 5.0 4.4 0.5
## 6 S1005 24 Male 7.2 1.3 0.0
## 7 S1006 21 Female 5.6 1.5 1.4
## 8 S1007 21 Female 4.3 1.0 2.0
## 9 S1008 23 Female 4.4 2.2 1.7
## 10 S1009 18 Female 4.8 3.1 1.3
## 11 S1010 19 Female 4.6 3.7 0.8
## 12 S1011 23 Male 3.9 2.4 2.5
## 13 S1012 19 Female 3.7 2.1 0.4
## 14 S1013 19 Female 3.4 2.7 2.7
## 15 S1014 24 Male 2.4 1.5 0.7
## 16 S1015 21 Male 3.1 5.0 1.0
## 17 S1016 20 Male 1.0 0.6 0.2
## 18 S1017 24 Female 3.4 2.7 1.2
## 19 S1018 24 Other 2.0 4.9 2.9
## 20 S1019 19 Male 1.8 2.5 2.4
## 21 S1020 22 Female 3.8 2.3 2.9
## 22 S1021 21 Male 5.6 2.1 2.4
## 23 S1022 18 Other 4.9 2.3 0.6
## 24 S1023 24 Female 1.1 4.1 1.4
## 25 S1024 20 Female 2.0 0.0 0.9
## 26 S1025 22 Male 4.9 4.3 3.3
## 27 S1026 22 Male 2.0 0.8 0.5
## 28 S1027 18 Male 3.2 2.2 2.8
## 29 S1028 24 Male 4.3 2.0 2.8
## 30 S1029 20 Female 2.0 3.2 3.8
## 31 S1030 21 Female 3.7 0.6 1.3
## 32 S1031 17 Other 1.5 3.1 2.6
## 33 S1032 20 Other 2.6 4.9 4.3
## 34 S1033 18 Female 4.0 0.9 1.1
## 35 S1034 22 Female 1.1 2.7 0.1
## 36 S1035 21 Female 4.2 1.7 0.0
## 37 S1036 20 Female 3.5 3.0 2.6
## 38 S1037 17 Male 4.3 2.5 0.0
## 39 S1038 17 Male 3.8 1.7 1.4
## 40 S1039 19 Male 5.5 3.1 2.3
## 41 S1040 19 Female 3.7 4.7 2.0
## 42 S1041 23 Female 2.9 2.3 2.3
## 43 S1042 18 Male 3.7 3.4 2.0
## 44 S1043 24 Female 4.3 0.9 3.2
## 45 S1044 20 Female 3.6 1.4 0.8
## 46 S1045 20 Male 3.6 3.1 1.1
## 47 S1046 24 Male 2.4 4.3 1.0
## 48 S1047 23 Female 2.5 2.9 2.7
## 49 S1048 22 Female 1.4 2.1 2.8
## 50 S1049 22 Female 6.1 2.5 2.3
## 51 S1050 23 Female 1.6 1.0 3.1
## 52 S1051 22 Female 2.5 3.2 0.5
## 53 S1052 19 Female 2.4 3.6 3.6
## 54 S1053 20 Female 4.8 2.0 3.5
## 55 S1054 23 Female 3.1 1.9 2.6
## 56 S1055 20 Male 5.4 2.8 3.8
## 57 S1056 24 Male 2.5 2.0 0.0
## 58 S1057 17 Male 3.9 2.4 1.2
## 59 S1058 19 Female 2.2 5.0 1.0
## 60 S1059 21 Female 6.7 2.2 2.6
## 61 S1060 19 Female 1.7 2.1 0.6
## 62 S1061 23 Male 4.0 1.7 2.6
## 63 S1062 21 Male 4.5 3.4 3.3
## 64 S1063 17 Male 4.1 2.3 2.6
## 65 S1064 23 Male 3.2 1.7 2.1
## 66 S1065 18 Female 3.3 4.1 0.7
## 67 S1066 20 Male 3.6 4.2 0.9
## 68 S1067 17 Male 3.3 1.8 3.2
## 69 S1068 20 Female 4.9 0.3 2.7
## 70 S1069 22 Male 6.8 3.7 1.8
## 71 S1070 18 Female 2.7 1.7 1.3
## 72 S1071 18 Female 1.4 3.4 0.0
## 73 S1072 17 Male 3.4 0.1 0.6
## 74 S1073 18 Female 7.4 3.6 3.9
## 75 S1074 21 Female 2.3 1.0 0.4
## 76 S1075 18 Female 6.0 3.4 2.0
## 77 S1076 20 Male 6.0 2.5 2.9
## 78 S1077 20 Female 2.7 1.4 0.4
## 79 S1078 23 Female 4.4 2.0 2.0
## 80 S1079 20 Male 5.9 3.3 2.8
## 81 S1080 23 Male 2.9 2.6 1.8
## 82 S1081 20 Other 3.2 3.2 5.0
## 83 S1082 21 Female 2.6 4.9 0.0
## 84 S1083 24 Male 2.0 0.6 3.0
## 85 S1084 23 Female 2.5 4.4 1.6
## 86 S1085 19 Male 1.7 2.6 2.6
## 87 S1086 22 Male 3.6 1.4 2.3
## 88 S1087 17 Male 2.3 0.9 1.0
## 89 S1088 20 Male 3.9 2.3 2.1
## 90 S1089 18 Male 1.2 3.6 0.0
## 91 S1090 24 Male 4.0 2.3 2.5
## 92 S1091 20 Female 4.8 4.3 2.1
## 93 S1092 18 Male 0.5 0.8 2.5
## 94 S1093 22 Male 4.1 2.5 3.0
## 95 S1094 22 Female 5.3 1.0 2.2
## 96 S1095 22 Male 1.7 2.9 2.0
## 97 S1096 18 Female 6.0 3.6 0.8
## 98 S1097 20 Male 4.1 2.0 1.0
## 99 S1098 22 Male 2.4 0.0 3.1
## 100 S1099 21 Male 3.4 2.7 3.4
## 101 S1100 23 Male 4.3 3.0 1.5
## 102 S1101 18 Male 3.6 3.0 1.9
## 103 S1102 18 Male 4.3 4.0 0.8
## 104 S1103 20 Male 2.1 1.2 3.1
## 105 S1104 18 Male 3.8 3.3 2.5
## 106 S1105 18 Male 1.4 3.9 3.9
## 107 S1106 22 Male 3.3 0.4 0.8
## 108 S1107 20 Male 2.1 2.9 1.4
## 109 S1108 22 Female 2.4 1.9 2.1
## 110 S1109 23 Female 5.4 2.4 2.5
## 111 S1110 24 Male 5.1 2.9 1.6
## 112 S1111 23 Female 4.4 1.9 0.8
## 113 S1112 24 Female 1.9 1.7 2.8
## 114 S1113 22 Male 3.0 2.5 2.6
## 115 S1114 23 Female 5.3 1.2 0.8
## 116 S1115 20 Female 3.7 1.2 3.3
## 117 S1116 17 Male 7.0 3.3 3.1
## 118 S1117 22 Male 4.1 1.1 1.9
## 119 S1118 24 Female 3.8 3.3 1.9
## 120 S1119 21 Female 3.0 3.1 2.4
## 121 S1120 24 Male 3.7 0.4 0.9
## 122 S1121 21 Male 3.3 1.7 1.8
## 123 S1122 18 Male 4.6 3.9 0.0
## 124 S1123 23 Female 4.9 1.3 2.8
## 125 S1124 21 Female 2.3 1.9 0.1
## 126 S1125 24 Male 1.5 3.1 3.5
## 127 S1126 18 Male 0.7 3.4 1.4
## 128 S1127 17 Female 4.3 2.2 1.6
## 129 S1128 20 Male 1.8 1.8 1.1
## 130 S1129 20 Male 0.3 4.2 1.5
## 131 S1130 20 Female 4.1 4.6 3.4
## 132 S1131 21 Female 7.2 3.7 0.0
## 133 S1132 17 Female 3.5 2.6 3.2
## 134 S1133 21 Female 4.8 1.5 2.2
## 135 S1134 23 Male 3.6 1.5 0.5
## 136 S1135 21 Male 3.4 3.1 0.6
## 137 S1136 17 Female 4.9 3.0 3.6
## 138 S1137 17 Male 3.1 4.2 0.8
## 139 S1138 23 Male 3.9 3.3 0.5
## 140 S1139 17 Male 4.0 0.7 3.1
## 141 S1140 24 Male 2.5 3.8 2.2
## 142 S1141 17 Male 5.0 1.3 0.8
## 143 S1142 20 Male 3.2 2.0 2.0
## 144 S1143 24 Male 2.4 2.8 0.7
## 145 S1144 24 Male 4.3 4.9 3.0
## 146 S1145 23 Female 2.2 6.2 3.0
## 147 S1146 19 Female 3.5 3.2 2.4
## 148 S1147 19 Female 3.5 2.3 2.2
## 149 S1148 17 Female 5.1 3.1 3.7
## 150 S1149 24 Female 4.2 3.6 1.8
## 151 S1150 19 Male 3.5 2.1 0.5
## 152 S1151 19 Female 4.7 4.7 2.3
## 153 S1152 17 Female 5.6 2.8 4.1
## 154 S1153 19 Female 4.3 3.1 0.7
## 155 S1154 21 Male 3.5 3.3 1.4
## 156 S1155 18 Male 1.5 3.0 2.3
## 157 S1156 23 Male 1.9 3.5 1.7
## 158 S1157 18 Male 3.0 1.8 0.7
## 159 S1158 17 Female 2.6 1.8 3.0
## 160 S1159 20 Female 3.2 1.2 4.4
## 161 S1160 23 Male 3.6 3.0 2.0
## 162 S1161 17 Other 4.3 3.4 0.8
## 163 S1162 24 Female 3.4 3.0 0.1
## 164 S1163 20 Male 4.2 4.5 2.1
## 165 S1164 18 Male 3.6 2.5 3.0
## 166 S1165 17 Male 0.5 3.3 2.3
## 167 S1166 24 Male 2.1 1.2 1.8
## 168 S1167 23 Male 3.3 2.0 1.2
## 169 S1168 23 Male 1.7 3.3 0.6
## 170 S1169 22 Male 4.4 3.5 2.7
## 171 S1170 24 Male 5.8 2.1 2.8
## 172 S1171 21 Female 5.3 2.4 0.1
## 173 S1172 19 Male 3.2 0.7 3.5
## 174 S1173 20 Female 5.7 2.1 2.4
## 175 S1174 24 Male 3.7 3.6 3.3
## 176 S1175 22 Other 3.0 3.2 0.3
## 177 S1176 19 Male 2.6 3.1 0.3
## 178 S1177 19 Male 3.0 2.6 1.6
## 179 S1178 17 Other 2.9 2.5 2.4
## 180 S1179 19 Female 3.8 1.7 3.8
## 181 S1180 21 Female 3.7 3.3 2.6
## 182 S1181 23 Male 3.5 3.0 1.5
## 183 S1182 22 Male 4.2 3.1 0.7
## 184 S1183 19 Female 5.3 1.9 3.2
## 185 S1184 17 Female 4.9 0.0 0.7
## 186 S1185 21 Female 1.3 3.8 3.6
## 187 S1186 18 Female 0.0 1.9 1.5
## 188 S1187 23 Male 4.9 1.5 3.5
## 189 S1188 23 Female 1.4 3.3 2.5
## 190 S1189 22 Male 3.2 2.0 1.6
## 191 S1190 23 Male 1.7 3.8 1.2
## 192 S1191 19 Male 0.8 3.2 1.4
## 193 S1192 17 Female 4.3 3.3 2.3
## 194 S1193 23 Male 4.6 0.9 1.9
## 195 S1194 23 Male 2.6 4.0 1.1
## 196 S1195 18 Female 0.0 2.8 1.6
## 197 S1196 18 Male 2.7 2.1 1.9
## 198 S1197 20 Female 4.1 2.7 0.0
## 199 S1198 21 Male 1.3 0.4 2.3
## 200 S1199 19 Female 3.8 3.0 0.7
## 201 S1200 23 Female 3.5 1.3 0.5
## 202 S1201 24 Male 4.4 0.9 0.0
## 203 S1202 23 Male 3.7 0.7 0.0
## 204 S1203 17 Male 2.0 3.8 0.3
## 205 S1204 20 Male 5.3 1.7 1.0
## 206 S1205 21 Other 3.3 4.3 3.9
## 207 S1206 24 Male 3.5 1.9 1.2
## 208 S1207 20 Female 2.1 0.5 2.0
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## 642 S1641 22 Male 3.4 5.7 0.0
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## 652 S1651 24 Female 3.7 1.7 2.3
## 653 S1652 23 Female 5.9 4.6 0.9
## 654 S1653 21 Female 4.8 2.1 1.9
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## 656 S1655 21 Female 2.2 3.5 0.0
## 657 S1656 23 Male 0.3 3.1 1.4
## 658 S1657 19 Female 2.4 2.9 1.7
## 659 S1658 20 Female 3.2 3.0 1.4
## 660 S1659 18 Male 2.0 0.2 0.5
## 661 S1660 24 Female 3.3 2.2 1.4
## 662 S1661 19 Male 3.6 3.5 2.1
## 663 S1662 21 Male 3.2 2.4 1.8
## 664 S1663 22 Female 2.5 0.8 2.0
## 665 S1664 17 Male 3.8 2.4 1.1
## 666 S1665 21 Female 4.2 4.5 3.1
## 667 S1666 22 Female 1.9 4.0 0.5
## 668 S1667 20 Female 5.6 2.4 2.3
## 669 S1668 21 Male 3.4 3.6 3.1
## 670 S1669 23 Male 3.5 2.1 2.3
## 671 S1670 17 Female 4.6 0.5 1.6
## 672 S1671 22 Other 3.8 1.4 1.2
## 673 S1672 22 Female 4.9 4.4 2.9
## 674 S1673 22 Male 3.9 2.2 0.2
## 675 S1674 20 Female 2.6 2.2 0.7
## 676 S1675 21 Female 4.0 2.1 1.4
## 677 S1676 20 Female 1.8 4.8 3.2
## 678 S1677 24 Male 3.7 4.5 2.2
## 679 S1678 18 Female 3.5 5.2 0.7
## 680 S1679 18 Female 3.2 2.3 1.5
## 681 S1680 24 Other 3.3 2.9 1.1
## 682 S1681 21 Male 0.7 0.7 1.0
## 683 S1682 23 Female 2.7 4.3 2.9
## 684 S1683 20 Female 3.6 1.1 0.3
## 685 S1684 17 Male 3.7 2.8 3.6
## 686 S1685 22 Female 2.0 1.2 2.7
## 687 S1686 22 Female 5.4 1.8 3.0
## 688 S1687 21 Male 2.2 1.5 1.3
## 689 S1688 23 Male 5.0 1.8 1.6
## 690 S1689 18 Female 4.1 1.9 0.2
## 691 S1690 18 Male 2.5 1.8 1.2
## 692 S1691 22 Female 6.2 3.5 2.3
## 693 S1692 21 Male 1.7 1.2 3.2
## 694 S1693 20 Female 4.9 2.8 0.6
## 695 S1694 18 Male 5.0 4.0 1.4
## 696 S1695 20 Female 2.5 1.9 1.6
## 697 S1696 23 Other 5.6 1.6 0.3
## 698 S1697 18 Other 3.1 2.2 2.5
## 699 S1698 18 Female 3.9 3.9 1.0
## 700 S1699 19 Male 3.9 2.7 1.6
## 701 S1700 18 Female 3.3 1.9 1.3
## 702 S1701 24 Male 4.7 3.1 0.9
## 703 S1702 17 Male 4.7 1.2 1.8
## 704 S1703 24 Male 0.9 3.3 1.6
## 705 S1704 21 Female 5.5 3.0 1.4
## 706 S1705 21 Female 1.0 2.1 1.0
## 707 S1706 20 Female 5.0 1.5 2.2
## 708 S1707 24 Male 5.2 1.4 3.6
## 709 S1708 24 Male 1.9 3.1 2.0
## 710 S1709 24 Other 2.9 4.0 2.9
## 711 S1710 23 Male 1.8 1.7 0.3
## 712 S1711 18 Male 3.2 3.1 2.0
## 713 S1712 17 Male 3.0 0.0 0.6
## 714 S1713 20 Female 4.7 1.8 0.2
## 715 S1714 24 Female 5.5 2.5 1.0
## 716 S1715 24 Male 5.6 1.4 3.1
## 717 S1716 19 Male 2.7 1.4 2.8
## 718 S1717 20 Female 3.2 1.7 2.1
## 719 S1718 24 Female 1.0 2.9 0.1
## 720 S1719 20 Male 2.3 2.3 1.6
## 721 S1720 18 Female 4.9 0.0 2.1
## 722 S1721 19 Male 5.9 0.0 2.0
## 723 S1722 20 Male 1.6 1.8 0.0
## 724 S1723 17 Female 2.6 3.0 0.8
## 725 S1724 17 Male 3.5 0.0 1.7
## 726 S1725 21 Female 3.9 1.9 2.4
## 727 S1726 19 Male 2.3 1.9 0.0
## 728 S1727 19 Male 4.1 4.2 1.6
## 729 S1728 21 Other 2.8 2.0 2.0
## 730 S1729 20 Male 3.5 3.0 2.7
## 731 S1730 19 Female 4.3 2.7 2.6
## 732 S1731 17 Male 3.5 0.0 2.4
## 733 S1732 17 Male 2.8 3.4 0.9
## 734 S1733 24 Male 3.3 2.8 0.0
## 735 S1734 18 Female 3.4 3.1 1.4
## 736 S1735 19 Male 2.9 7.2 2.9
## 737 S1736 20 Female 3.1 0.0 3.3
## 738 S1737 21 Male 5.9 4.6 2.6
## 739 S1738 21 Other 4.3 2.2 2.3
## 740 S1739 20 Male 3.1 2.8 2.2
## 741 S1740 23 Female 4.5 2.4 1.2
## 742 S1741 22 Female 3.0 2.0 1.7
## 743 S1742 18 Female 5.3 1.8 3.6
## 744 S1743 21 Female 4.1 2.9 0.8
## 745 S1744 19 Female 3.3 0.7 3.6
## 746 S1745 18 Female 4.2 3.4 1.4
## 747 S1746 19 Male 1.1 2.0 3.3
## 748 S1747 23 Male 1.8 1.1 0.3
## 749 S1748 17 Female 1.7 2.0 2.4
## 750 S1749 18 Female 3.7 4.0 1.0
## 751 S1750 24 Female 6.1 1.9 0.2
## 752 S1751 21 Female 6.8 2.9 2.0
## 753 S1752 18 Male 4.5 1.6 2.9
## 754 S1753 18 Male 4.3 3.4 0.9
## 755 S1754 18 Female 0.8 3.3 0.2
## 756 S1755 22 Male 2.7 4.7 1.7
## 757 S1756 18 Male 2.3 2.3 1.7
## 758 S1757 19 Female 2.6 3.3 2.4
## 759 S1758 17 Male 3.2 2.6 2.8
## 760 S1759 23 Female 2.8 4.1 1.7
## 761 S1760 20 Male 0.5 1.6 3.8
## 762 S1761 18 Female 4.6 3.4 2.0
## 763 S1762 21 Male 1.9 2.3 1.4
## 764 S1763 18 Male 3.9 2.4 0.0
## 765 S1764 21 Male 6.6 2.6 1.5
## 766 S1765 19 Male 2.1 2.8 1.4
## 767 S1766 21 Male 0.0 2.4 2.9
## 768 S1767 24 Male 3.1 2.8 2.3
## 769 S1768 20 Female 5.2 4.4 0.5
## 770 S1769 17 Male 6.4 3.7 2.0
## 771 S1770 21 Female 1.7 3.5 2.5
## 772 S1771 21 Female 4.2 2.0 3.5
## 773 S1772 17 Female 2.8 1.4 2.8
## 774 S1773 20 Male 3.3 3.6 2.6
## 775 S1774 18 Female 7.5 3.6 1.9
## 776 S1775 21 Male 1.2 4.3 2.2
## 777 S1776 17 Male 3.9 1.8 3.2
## 778 S1777 24 Other 4.2 2.2 0.3
## 779 S1778 24 Male 5.1 0.5 1.4
## 780 S1779 19 Female 3.6 2.0 1.0
## 781 S1780 17 Female 4.0 3.7 2.2
## 782 S1781 19 Female 2.9 1.9 3.2
## 783 S1782 24 Female 3.9 3.3 1.1
## 784 S1783 20 Male 3.0 2.3 0.0
## 785 S1784 18 Male 4.4 2.9 1.3
## 786 S1785 17 Female 2.9 1.1 2.8
## 787 S1786 23 Male 4.1 2.6 2.4
## 788 S1787 24 Male 3.5 0.0 2.3
## 789 S1788 24 Male 5.2 2.3 1.5
## 790 S1789 23 Male 3.4 0.5 0.4
## 791 S1790 22 Male 0.8 3.9 2.4
## 792 S1791 24 Male 5.4 3.4 0.9
## 793 S1792 21 Female 2.1 3.1 4.2
## 794 S1793 20 Female 2.5 4.3 2.4
## 795 S1794 17 Female 2.6 1.4 1.2
## 796 S1795 23 Male 5.6 4.6 1.1
## 797 S1796 21 Male 0.3 3.6 1.7
## 798 S1797 23 Male 8.2 2.2 1.5
## 799 S1798 17 Female 5.1 3.9 3.0
## 800 S1799 19 Female 3.8 1.2 2.0
## 801 S1800 17 Male 3.4 1.5 1.0
## 802 S1801 22 Female 3.9 1.8 3.9
## 803 S1802 17 Male 4.3 1.9 1.9
## 804 S1803 17 Female 4.5 1.2 2.6
## 805 S1804 22 Female 4.3 4.0 1.1
## 806 S1805 20 Female 3.6 2.2 2.2
## 807 S1806 24 Female 3.2 2.9 2.1
## 808 S1807 17 Female 3.3 1.8 0.0
## 809 S1808 22 Male 3.2 0.3 4.0
## 810 S1809 21 Female 5.2 2.8 3.2
## 811 S1810 19 Male 4.4 0.2 1.4
## 812 S1811 19 Female 0.0 2.4 0.6
## 813 S1812 17 Female 4.5 0.9 2.2
## 814 S1813 20 Female 3.8 4.9 1.9
## 815 S1814 20 Male 3.5 3.6 2.2
## 816 S1815 21 Female 2.9 2.6 2.0
## 817 S1816 17 Female 5.2 4.0 2.4
## 818 S1817 19 Female 4.9 1.5 3.4
## 819 S1818 20 Male 2.3 3.2 2.4
## 820 S1819 17 Male 4.1 2.7 0.6
## 821 S1820 23 Male 2.0 2.8 3.3
## 822 S1821 20 Male 1.4 4.0 3.6
## 823 S1822 22 Female 2.6 3.4 5.3
## 824 S1823 23 Male 4.8 2.8 0.6
## 825 S1824 24 Other 4.9 0.5 2.1
## 826 S1825 20 Male 4.3 1.3 0.0
## 827 S1826 19 Male 4.6 2.4 2.4
## 828 S1827 18 Female 4.3 2.6 1.2
## 829 S1828 23 Female 2.5 1.1 3.9
## 830 S1829 24 Female 4.1 5.4 0.9
## 831 S1830 21 Female 4.7 4.3 0.0
## 832 S1831 21 Female 4.6 3.2 1.3
## 833 S1832 19 Male 5.3 2.6 0.0
## 834 S1833 20 Other 4.6 2.2 2.6
## 835 S1834 17 Other 4.0 1.4 0.0
## 836 S1835 20 Female 5.1 2.6 1.8
## 837 S1836 19 Male 3.5 2.8 0.0
## 838 S1837 21 Female 2.2 1.0 1.4
## 839 S1838 20 Male 3.3 2.9 3.6
## 840 S1839 21 Male 2.4 2.3 2.2
## 841 S1840 23 Male 2.5 0.2 0.9
## 842 S1841 24 Male 3.3 1.5 1.8
## 843 S1842 17 Female 2.3 2.0 1.8
## 844 S1843 23 Female 3.0 4.8 2.3
## 845 S1844 21 Female 0.7 3.2 0.3
## 846 S1845 21 Male 3.8 0.9 2.5
## 847 S1846 18 Male 3.5 3.1 0.0
## 848 S1847 18 Male 2.3 0.6 1.1
## 849 S1848 23 Other 4.5 3.8 1.3
## 850 S1849 22 Male 4.9 1.9 2.5
## 851 S1850 23 Female 1.1 2.4 1.8
## 852 S1851 18 Female 2.4 4.1 0.3
## 853 S1852 21 Male 2.3 1.0 0.7
## 854 S1853 19 Female 2.1 0.8 2.0
## 855 S1854 23 Female 4.7 1.8 1.7
## 856 S1855 21 Female 3.2 3.7 1.2
## 857 S1856 19 Female 3.1 0.7 1.3
## 858 S1857 19 Male 0.5 0.0 2.6
## 859 S1858 18 Male 4.5 2.0 1.2
## 860 S1859 23 Female 1.6 3.2 1.7
## 861 S1860 20 Female 3.6 3.9 4.2
## 862 S1861 17 Male 3.9 1.9 0.2
## 863 S1862 18 Female 5.5 2.0 0.0
## 864 S1863 18 Female 1.5 3.9 2.7
## 865 S1864 20 Female 0.0 0.3 1.1
## 866 S1865 17 Male 3.8 2.0 1.4
## 867 S1866 21 Female 6.2 2.7 0.9
## 868 S1867 22 Female 5.4 3.0 1.5
## 869 S1868 23 Male 3.8 1.9 3.6
## 870 S1869 22 Male 2.8 2.5 2.7
## 871 S1870 21 Other 4.7 0.0 2.7
## 872 S1871 24 Male 2.0 1.7 0.2
## 873 S1872 18 Female 4.2 3.0 0.5
## 874 S1873 17 Female 4.3 1.3 0.0
## 875 S1874 18 Male 5.1 2.6 0.9
## 876 S1875 19 Female 7.6 3.0 2.9
## 877 S1876 18 Male 4.1 2.1 2.4
## 878 S1877 18 Female 2.7 2.7 1.6
## 879 S1878 21 Male 3.5 1.3 1.8
## 880 S1879 21 Female 0.8 2.3 1.0
## 881 S1880 21 Male 2.5 3.2 2.0
## 882 S1881 22 Male 2.9 2.7 2.6
## 883 S1882 19 Other 2.7 1.8 0.0
## 884 S1883 24 Male 3.7 2.8 2.1
## 885 S1884 24 Female 2.3 3.4 2.8
## 886 S1885 21 Male 5.2 0.0 1.3
## 887 S1886 17 Female 3.5 3.9 2.6
## 888 S1887 22 Male 3.5 2.1 4.9
## 889 S1888 20 Other 3.0 3.0 1.7
## 890 S1889 17 Male 3.7 3.9 2.2
## 891 S1890 23 Male 4.7 0.9 1.0
## 892 S1891 23 Male 2.2 1.6 2.0
## 893 S1892 17 Male 2.5 2.2 2.3
## 894 S1893 21 Female 3.0 1.6 2.0
## 895 S1894 20 Male 1.5 4.6 0.7
## 896 S1895 20 Female 2.3 1.5 2.0
## 897 S1896 22 Male 2.8 1.8 3.4
## 898 S1897 20 Male 4.8 2.7 2.3
## 899 S1898 23 Female 3.9 1.1 2.9
## 900 S1899 19 Female 3.8 2.0 1.5
## 901 S1900 21 Male 4.8 2.9 2.6
## 902 S1901 20 Male 3.3 2.1 2.1
## 903 S1902 22 Male 4.1 2.4 0.8
## 904 S1903 23 Female 3.3 1.9 2.2
## 905 S1904 19 Female 3.9 0.7 0.7
## 906 S1905 18 Male 2.6 2.9 1.1
## 907 S1906 18 Female 0.0 4.6 2.0
## 908 S1907 19 Female 3.3 2.5 2.1
## 909 S1908 23 Female 5.6 2.8 0.5
## 910 S1909 22 Female 4.9 3.3 3.0
## 911 S1910 19 Male 4.9 1.0 2.4
## 912 S1911 21 Male 5.4 4.5 1.0
## 913 S1912 21 Male 3.6 2.7 0.1
## 914 S1913 18 Male 3.8 4.5 1.6
## 915 S1914 20 Female 2.6 1.6 1.3
## 916 S1915 22 Female 3.0 4.7 1.9
## 917 S1916 18 Male 4.4 3.4 1.4
## 918 S1917 20 Male 5.3 3.2 0.0
## 919 S1918 20 Male 3.3 2.8 1.4
## 920 S1919 24 Female 2.8 2.2 1.5
## 921 S1920 21 Male 3.5 3.9 2.5
## 922 S1921 23 Female 4.4 2.7 1.0
## 923 S1922 17 Male 1.3 0.1 3.6
## 924 S1923 23 Male 0.1 1.2 0.0
## 925 S1924 17 Other 2.7 2.3 3.2
## 926 S1925 19 Other 1.7 2.9 1.6
## 927 S1926 21 Male 2.7 2.4 2.7
## 928 S1927 20 Female 3.3 4.0 1.9
## 929 S1928 22 Female 2.8 0.2 3.1
## 930 S1929 17 Female 5.7 2.7 1.4
## 931 S1930 23 Male 4.0 0.3 0.6
## 932 S1931 20 Female 4.0 3.4 3.4
## 933 S1932 17 Female 4.4 2.4 1.7
## 934 S1933 17 Female 1.8 3.0 2.0
## 935 S1934 24 Male 5.1 1.5 3.2
## 936 S1935 17 Male 3.4 4.0 0.7
## 937 S1936 22 Male 4.5 3.8 2.5
## 938 S1937 21 Female 1.9 3.2 1.2
## 939 S1938 22 Male 1.2 2.3 1.7
## 940 S1939 18 Female 4.7 3.2 1.9
## 941 S1940 20 Other 4.1 1.7 0.1
## 942 S1941 21 Male 2.1 3.5 0.9
## 943 S1942 24 Female 2.2 4.5 3.3
## 944 S1943 21 Male 5.2 3.8 2.8
## 945 S1944 21 Female 1.7 1.6 1.7
## 946 S1945 23 Male 6.0 2.9 2.1
## 947 S1946 21 Female 2.1 0.9 1.5
## 948 S1947 24 Female 4.5 3.2 3.3
## 949 S1948 22 Female 3.0 3.0 1.6
## 950 S1949 21 Female 4.4 0.3 2.1
## 951 S1950 19 Female 2.7 1.1 3.1
## 952 S1951 20 Female 3.3 2.2 0.9
## 953 S1952 21 Female 3.6 2.1 3.5
## 954 S1953 20 Female 2.0 1.0 0.1
## 955 S1954 19 Male 4.6 3.0 3.6
## 956 S1955 19 Female 2.7 2.8 1.4
## 957 S1956 20 Female 3.2 2.3 1.5
## 958 S1957 17 Female 2.0 1.6 0.0
## 959 S1958 18 Male 0.0 3.8 1.3
## 960 S1959 23 Female 3.2 4.5 0.7
## 961 S1960 17 Male 7.1 1.9 1.1
## 962 S1961 17 Female 4.7 1.8 1.6
## 963 S1962 22 Male 3.5 3.1 2.9
## 964 S1963 23 Female 3.1 2.1 2.0
## 965 S1964 23 Other 3.5 2.3 2.1
## 966 S1965 17 Male 4.3 3.4 0.6
## 967 S1966 21 Other 1.7 0.2 0.8
## 968 S1967 22 Male 5.2 4.1 3.8
## 969 S1968 22 Female 4.6 2.6 1.0
## 970 S1969 19 Female 4.6 2.0 3.6
## 971 S1970 24 Female 4.2 2.4 1.5
## 972 S1971 23 Female 3.5 2.5 1.8
## 973 S1972 17 Female 4.5 0.4 3.0
## 974 S1973 19 Male 4.4 4.3 3.2
## 975 S1974 20 Male 3.0 2.5 1.7
## 976 S1975 18 Female 2.6 3.0 1.4
## 977 S1976 24 Female 3.7 3.6 1.7
## 978 S1977 24 Female 5.8 1.3 2.2
## 979 S1978 24 Female 1.6 3.1 2.8
## 980 S1979 22 Male 1.3 2.2 1.8
## 981 S1980 20 Female 3.7 3.5 2.5
## 982 S1981 24 Male 3.6 0.0 3.6
## 983 S1982 20 Female 3.8 2.4 2.2
## 984 S1983 21 Male 3.9 1.8 2.1
## 985 S1984 24 Male 3.2 3.0 0.1
## 986 S1985 18 Male 5.7 3.1 0.0
## 987 S1986 20 Male 1.1 1.7 2.2
## 988 S1987 20 Female 2.3 1.6 1.7
## 989 S1988 18 Male 3.3 2.4 1.2
## 990 S1989 24 Male 1.0 1.4 2.1
## 991 S1990 18 Male 3.2 3.5 1.7
## 992 S1991 20 Male 6.0 2.1 3.0
## 993 S1992 18 Male 3.5 0.0 1.9
## 994 S1993 20 Male 3.8 2.1 1.0
## 995 S1994 20 Female 1.6 1.3 2.9
## 996 S1995 21 Female 2.6 0.5 1.6
## 997 S1996 17 Female 2.9 1.0 2.4
## 998 S1997 20 Male 3.0 2.6 1.3
## 999 S1998 24 Male 5.4 4.1 1.1
## 1000 S1999 19 Female 4.3 2.9 1.9
## part_time_job attendance_percentage sleep_hours diet_quality
## 1 No 85.0 8.0 Fair
## 2 No 97.3 4.6 Good
## 3 No 94.8 8.0 Poor
## 4 No 71.0 9.2 Poor
## 5 No 90.9 4.9 Fair
## 6 No 82.9 7.4 Fair
## 7 Yes 85.8 6.5 Good
## 8 Yes 77.7 4.6 Fair
## 9 No 100.0 7.1 Good
## 10 No 95.4 7.5 Good
## 11 No 77.6 5.8 Fair
## 12 No 71.7 7.9 Fair
## 13 Yes 81.1 4.5 Fair
## 14 No 89.3 4.7 Fair
## 15 No 87.4 6.7 Poor
## 16 No 97.5 6.5 Good
## 17 No 92.9 5.6 Poor
## 18 No 94.7 7.5 Poor
## 19 Yes 88.3 7.1 Good
## 20 No 71.1 7.5 Fair
## 21 No 83.0 6.4 Good
## 22 No 95.6 7.2 Fair
## 23 No 84.5 6.0 Fair
## 24 Yes 90.0 9.0 Fair
## 25 Yes 81.8 5.5 Fair
## 26 No 74.7 9.0 Fair
## 27 No 83.8 6.5 Good
## 28 Yes 88.1 4.8 Fair
## 29 Yes 78.4 8.1 Good
## 30 Yes 82.6 6.7 Poor
## 31 No 75.6 7.5 Fair
## 32 Yes 96.2 8.0 Fair
## 33 No 82.1 6.9 Good
## 34 No 99.5 5.8 Poor
## 35 No 100.0 7.7 Fair
## 36 Yes 84.2 6.5 Good
## 37 No 74.9 7.3 Fair
## 38 Yes 64.1 3.9 Good
## 39 No 70.3 7.0 Poor
## 40 No 71.3 5.7 Good
## 41 No 98.8 8.5 Good
## 42 No 86.2 7.2 Good
## 43 No 88.9 6.8 Fair
## 44 No 62.8 7.1 Poor
## 45 No 73.0 5.3 Good
## 46 No 93.9 8.4 Fair
## 47 No 87.9 8.9 Poor
## 48 No 83.5 7.0 Good
## 49 No 90.6 8.4 Fair
## 50 No 100.0 5.8 Poor
## 51 No 82.8 5.5 Fair
## 52 No 85.7 6.5 Poor
## 53 No 86.9 7.0 Fair
## 54 No 100.0 6.0 Good
## 55 Yes 64.0 7.1 Fair
## 56 No 91.8 6.9 Good
## 57 No 83.9 5.3 Good
## 58 No 90.7 7.1 Good
## 59 No 78.4 7.5 Poor
## 60 No 84.5 6.7 Good
## 61 Yes 92.1 7.9 Fair
## 62 No 100.0 5.0 Fair
## 63 Yes 93.1 7.1 Good
## 64 Yes 76.5 5.1 Fair
## 65 No 80.8 5.2 Good
## 66 No 80.5 5.7 Poor
## 67 No 67.0 5.4 Good
## 68 No 81.7 5.8 Poor
## 69 Yes 92.3 6.2 Good
## 70 No 72.3 7.5 Poor
## 71 No 95.5 6.1 Poor
## 72 No 89.9 4.6 Fair
## 73 No 77.7 7.9 Fair
## 74 No 83.6 5.5 Fair
## 75 No 100.0 6.4 Fair
## 76 Yes 92.3 7.0 Fair
## 77 No 85.1 6.7 Poor
## 78 No 82.6 7.8 Fair
## 79 Yes 85.8 7.1 Good
## 80 Yes 79.9 5.5 Good
## 81 No 64.0 9.1 Good
## 82 No 100.0 6.7 Good
## 83 Yes 86.6 6.3 Fair
## 84 No 89.0 7.7 Poor
## 85 No 84.4 6.8 Fair
## 86 No 77.6 7.0 Good
## 87 No 83.1 9.5 Good
## 88 No 69.0 6.2 Fair
## 89 No 100.0 6.1 Poor
## 90 No 72.7 6.6 Poor
## 91 No 74.7 7.8 Fair
## 92 No 80.6 4.7 Fair
## 93 Yes 97.9 4.1 Poor
## 94 No 85.1 5.8 Good
## 95 No 72.6 4.5 Fair
## 96 No 97.5 6.0 Good
## 97 No 92.3 7.1 Good
## 98 No 90.4 5.4 Good
## 99 No 92.2 4.8 Good
## 100 No 100.0 6.6 Good
## 101 No 100.0 7.5 Good
## 102 No 78.1 4.5 Good
## 103 No 100.0 7.5 Fair
## 104 No 88.8 7.5 Good
## 105 No 90.0 7.6 Good
## 106 Yes 68.1 8.0 Good
## 107 No 83.3 9.1 Good
## 108 No 76.9 6.1 Fair
## 109 No 93.3 6.6 Poor
## 110 No 95.7 6.0 Fair
## 111 No 64.3 6.5 Fair
## 112 No 84.8 8.3 Good
## 113 No 96.2 4.9 Fair
## 114 No 83.1 5.5 Fair
## 115 No 92.3 8.2 Fair
## 116 No 88.5 7.7 Poor
## 117 No 88.4 6.1 Good
## 118 No 82.3 7.5 Good
## 119 No 72.8 6.9 Poor
## 120 Yes 73.8 8.3 Fair
## 121 No 92.1 6.6 Fair
## 122 No 85.2 7.7 Poor
## 123 No 83.6 9.7 Poor
## 124 No 80.8 7.2 Good
## 125 No 81.9 6.6 Fair
## 126 No 95.5 7.4 Fair
## 127 Yes 81.6 6.1 Poor
## 128 No 71.6 9.4 Good
## 129 No 92.4 6.7 Good
## 130 No 83.0 6.2 Good
## 131 No 85.3 5.5 Poor
## 132 No 100.0 7.8 Good
## 133 Yes 84.8 7.5 Fair
## 134 No 87.9 5.9 Fair
## 135 No 73.2 7.2 Fair
## 136 No 82.8 4.7 Fair
## 137 No 91.1 6.7 Good
## 138 No 69.4 7.0 Good
## 139 No 87.0 8.5 Fair
## 140 No 86.0 5.6 Good
## 141 No 85.4 5.0 Good
## 142 No 95.4 5.4 Good
## 143 No 88.3 4.9 Fair
## 144 No 99.8 8.1 Fair
## 145 No 75.1 8.4 Fair
## 146 No 86.4 6.9 Good
## 147 No 85.8 8.0 Poor
## 148 No 74.3 6.7 Fair
## 149 No 94.6 6.4 Fair
## 150 Yes 100.0 6.1 Fair
## 151 Yes 84.8 6.1 Good
## 152 No 90.1 4.6 Good
## 153 No 85.8 6.8 Good
## 154 No 77.9 6.5 Good
## 155 No 66.8 7.4 Fair
## 156 No 77.9 6.6 Fair
## 157 Yes 71.1 6.3 Fair
## 158 No 100.0 5.5 Poor
## 159 No 83.8 6.6 Fair
## 160 No 81.5 7.4 Good
## 161 No 93.9 5.1 Fair
## 162 No 73.8 6.6 Good
## 163 No 77.3 6.8 Fair
## 164 No 85.7 5.6 Poor
## 165 No 95.3 5.8 Poor
## 166 No 90.0 6.8 Fair
## 167 No 87.5 5.1 Fair
## 168 Yes 85.8 6.9 Poor
## 169 No 89.0 5.4 Fair
## 170 Yes 87.0 7.8 Fair
## 171 No 74.7 9.3 Fair
## 172 No 85.5 5.5 Good
## 173 No 74.3 7.1 Good
## 174 No 85.8 5.6 Fair
## 175 Yes 80.2 7.7 Good
## 176 No 100.0 5.0 Good
## 177 No 84.6 7.1 Good
## 178 No 71.0 5.5 Fair
## 179 Yes 83.7 6.3 Poor
## 180 No 90.2 5.3 Good
## 181 Yes 100.0 7.5 Fair
## 182 Yes 79.1 5.5 Good
## 183 No 69.2 7.2 Good
## 184 No 93.2 6.1 Fair
## 185 No 71.2 6.4 Fair
## 186 Yes 80.6 6.7 Fair
## 187 No 82.4 5.6 Fair
## 188 No 84.3 6.8 Fair
## 189 No 91.9 8.3 Fair
## 190 No 78.2 5.6 Fair
## 191 No 82.3 7.9 Poor
## 192 No 84.9 8.3 Good
## 193 No 86.5 5.5 Poor
## 194 No 86.0 4.8 Good
## 195 No 89.4 6.9 Good
## 196 No 93.4 5.8 Fair
## 197 No 88.9 8.7 Good
## 198 No 89.5 6.5 Fair
## 199 Yes 69.2 5.5 Good
## 200 No 85.5 5.1 Fair
## 201 No 89.8 7.8 Fair
## 202 No 92.3 5.8 Fair
## 203 No 78.1 6.6 Fair
## 204 No 78.4 7.6 Fair
## 205 No 79.3 5.9 Fair
## 206 No 90.4 6.4 Fair
## 207 No 95.3 6.5 Poor
## 208 No 80.9 7.3 Poor
## 209 Yes 94.1 7.2 Fair
## 210 No 86.2 6.2 Poor
## 211 Yes 83.8 6.6 Poor
## 212 No 82.9 6.1 Good
## 213 No 92.5 4.7 Poor
## 214 No 88.3 6.8 Good
## 215 No 100.0 8.8 Fair
## 216 No 76.5 5.4 Good
## 217 No 90.2 5.6 Fair
## 218 No 79.7 5.5 Fair
## 219 No 76.3 7.4 Fair
## 220 No 84.9 7.0 Fair
## 221 No 86.4 6.3 Fair
## 222 No 100.0 5.4 Poor
## 223 No 83.2 6.6 Good
## 224 No 73.7 4.6 Fair
## 225 No 87.7 6.7 Fair
## 226 No 64.3 7.5 Good
## 227 Yes 84.1 5.0 Fair
## 228 No 85.2 4.7 Good
## 229 No 92.9 8.4 Fair
## 230 No 94.7 5.8 Good
## 231 No 80.0 7.9 Poor
## 232 No 83.5 6.3 Good
## 233 No 77.3 6.3 Good
## 234 No 73.7 7.0 Fair
## 235 No 88.1 5.4 Poor
## 236 No 72.3 6.7 Fair
## 237 No 80.9 6.0 Good
## 238 Yes 75.0 4.9 Fair
## 239 No 90.5 6.9 Fair
## 240 No 100.0 6.2 Poor
## 241 No 72.0 6.3 Fair
## 242 Yes 66.5 5.0 Fair
## 243 No 83.8 8.4 Good
## 244 No 85.2 7.6 Fair
## 245 No 87.2 7.7 Good
## 246 No 80.5 6.1 Fair
## 247 Yes 83.0 4.4 Poor
## 248 No 88.7 8.8 Fair
## 249 No 95.4 6.4 Fair
## 250 No 65.4 5.6 Good
## 251 Yes 81.3 7.0 Good
## 252 No 87.1 7.9 Fair
## 253 No 75.8 6.5 Fair
## 254 No 100.0 8.0 Fair
## 255 Yes 78.6 7.8 Good
## 256 No 84.6 5.2 Good
## 257 No 90.6 5.7 Good
## 258 No 79.1 7.6 Fair
## 259 No 66.5 3.2 Fair
## 260 No 80.7 6.3 Fair
## 261 No 95.3 4.8 Fair
## 262 Yes 81.6 5.9 Fair
## 263 No 76.5 6.1 Poor
## 264 Yes 94.3 6.1 Poor
## 265 No 81.7 5.8 Good
## 266 No 79.9 5.2 Good
## 267 No 86.5 9.3 Fair
## 268 Yes 92.7 8.7 Fair
## 269 No 100.0 5.1 Fair
## 270 No 93.3 8.4 Good
## 271 Yes 96.6 6.0 Good
## 272 Yes 79.9 6.7 Good
## 273 Yes 74.7 6.4 Good
## 274 No 85.6 5.7 Fair
## 275 No 86.1 7.7 Fair
## 276 No 74.2 6.7 Fair
## 277 Yes 83.2 5.9 Fair
## 278 No 89.0 4.9 Good
## 279 No 88.6 5.4 Fair
## 280 No 90.0 4.5 Poor
## 281 No 87.9 6.5 Fair
## 282 Yes 79.9 5.1 Good
## 283 Yes 79.9 6.2 Fair
## 284 Yes 73.0 8.1 Good
## 285 No 100.0 7.9 Fair
## 286 Yes 85.1 6.5 Poor
## 287 No 82.8 6.4 Fair
## 288 No 75.7 8.8 Good
## 289 No 100.0 7.1 Fair
## 290 No 74.3 6.1 Good
## 291 No 80.7 4.8 Fair
## 292 No 89.2 7.0 Poor
## 293 Yes 91.0 7.5 Good
## 294 No 94.6 5.7 Fair
## 295 No 100.0 6.8 Fair
## 296 No 90.1 6.1 Good
## 297 No 74.4 6.3 Fair
## 298 No 82.4 3.5 Good
## 299 No 88.1 6.2 Poor
## 300 No 100.0 7.7 Fair
## 301 No 71.0 5.7 Poor
## 302 Yes 97.0 6.6 Good
## 303 No 86.8 5.6 Fair
## 304 No 93.4 6.9 Good
## 305 No 84.0 6.2 Good
## 306 No 76.6 5.4 Fair
## 307 No 92.5 8.1 Fair
## 308 Yes 91.5 7.6 Fair
## 309 No 94.7 5.8 Fair
## 310 No 84.9 7.1 Fair
## 311 No 79.0 7.1 Good
## 312 Yes 69.4 7.3 Good
## 313 No 93.2 4.5 Good
## 314 No 89.2 7.7 Good
## 315 No 75.3 5.8 Good
## 316 No 79.6 6.1 Fair
## 317 Yes 80.3 9.7 Good
## 318 No 70.2 6.9 Good
## 319 No 76.8 6.0 Fair
## 320 No 73.7 3.9 Good
## 321 No 80.9 8.2 Fair
## 322 Yes 77.6 4.9 Good
## 323 No 68.7 5.3 Good
## 324 No 100.0 6.1 Good
## 325 No 97.5 8.2 Fair
## 326 No 77.2 7.4 Good
## 327 No 87.7 6.3 Fair
## 328 No 89.2 6.9 Fair
## 329 Yes 96.9 5.8 Good
## 330 No 76.8 6.7 Fair
## 331 No 95.9 6.6 Good
## 332 No 79.5 7.7 Fair
## 333 No 71.6 7.7 Fair
## 334 No 92.2 7.1 Good
## 335 No 97.9 6.1 Fair
## 336 No 100.0 7.4 Poor
## 337 No 73.0 6.4 Good
## 338 No 92.0 5.2 Fair
## 339 Yes 80.9 6.0 Good
## 340 No 92.8 6.6 Fair
## 341 Yes 70.3 7.6 Fair
## 342 No 72.4 6.3 Fair
## 343 No 77.2 5.0 Fair
## 344 No 85.8 6.6 Fair
## 345 No 78.6 6.6 Fair
## 346 No 91.6 6.7 Fair
## 347 Yes 95.3 7.6 Poor
## 348 No 91.0 7.7 Fair
## 349 No 100.0 5.8 Poor
## 350 No 89.2 5.8 Poor
## 351 No 72.8 5.3 Good
## 352 No 98.6 7.3 Good
## 353 No 78.9 8.2 Good
## 354 No 94.1 6.1 Fair
## 355 No 100.0 6.2 Good
## 356 Yes 89.6 8.3 Good
## 357 Yes 70.0 7.1 Good
## 358 No 75.8 7.0 Fair
## 359 No 98.2 5.1 Good
## 360 No 83.3 7.3 Good
## 361 Yes 85.8 5.4 Good
## 362 No 92.6 5.1 Poor
## 363 No 92.0 6.1 Fair
## 364 No 87.8 5.8 Fair
## 365 No 82.9 6.2 Fair
## 366 Yes 81.9 4.8 Good
## 367 No 93.6 7.7 Poor
## 368 No 90.5 7.9 Poor
## 369 Yes 82.4 4.2 Fair
## 370 Yes 95.8 7.7 Poor
## 371 Yes 83.7 5.5 Fair
## 372 Yes 76.5 7.5 Good
## 373 No 77.4 6.4 Fair
## 374 No 75.2 6.5 Poor
## 375 Yes 82.3 6.3 Fair
## 376 Yes 97.3 8.0 Fair
## 377 No 76.9 5.0 Poor
## 378 No 86.9 7.2 Good
## 379 No 78.4 7.8 Good
## 380 No 82.4 7.4 Good
## 381 No 69.9 9.3 Good
## 382 No 82.8 5.9 Poor
## 383 Yes 83.1 7.6 Good
## 384 No 90.4 6.4 Good
## 385 No 87.2 8.0 Good
## 386 No 73.0 6.5 Poor
## 387 No 95.8 6.0 Good
## 388 No 87.1 8.1 Good
## 389 No 87.0 5.9 Good
## 390 No 84.9 4.8 Poor
## 391 Yes 79.8 5.9 Good
## 392 Yes 87.2 7.2 Good
## 393 No 89.8 8.2 Good
## 394 No 67.5 6.6 Fair
## 395 No 79.6 8.1 Good
## 396 No 82.5 4.9 Fair
## 397 Yes 87.6 6.0 Fair
## 398 Yes 96.9 6.2 Fair
## 399 No 77.3 6.4 Good
## 400 No 80.0 6.6 Poor
## 401 No 79.9 7.3 Fair
## 402 No 77.0 6.0 Good
## 403 No 81.5 6.7 Good
## 404 No 92.7 6.4 Fair
## 405 Yes 74.5 5.4 Good
## 406 No 89.3 6.4 Good
## 407 No 68.0 6.3 Poor
## 408 No 79.4 6.3 Fair
## 409 No 81.7 6.5 Poor
## 410 No 100.0 6.6 Fair
## 411 No 82.3 6.0 Fair
## 412 Yes 63.0 8.0 Good
## 413 No 65.0 5.1 Good
## 414 Yes 85.3 5.6 Poor
## 415 No 91.1 9.8 Poor
## 416 Yes 88.8 5.3 Fair
## 417 No 86.7 4.9 Fair
## 418 No 96.6 7.4 Fair
## 419 No 79.6 4.0 Good
## 420 No 93.9 6.2 Good
## 421 Yes 68.7 9.1 Fair
## 422 No 76.0 4.6 Good
## 423 No 66.9 4.1 Fair
## 424 No 82.3 4.7 Good
## 425 Yes 84.5 7.6 Fair
## 426 No 86.1 7.8 Poor
## 427 No 85.6 5.9 Good
## 428 Yes 75.7 7.3 Fair
## 429 No 83.1 8.2 Good
## 430 No 70.0 8.6 Fair
## 431 No 98.6 6.2 Poor
## 432 No 82.0 3.7 Poor
## 433 No 80.1 5.5 Fair
## 434 No 100.0 6.0 Good
## 435 No 72.6 6.2 Fair
## 436 No 73.7 6.3 Good
## 437 No 74.0 7.8 Good
## 438 No 84.3 8.0 Good
## 439 No 89.3 6.3 Fair
## 440 No 92.4 7.8 Good
## 441 No 100.0 6.9 Fair
## 442 No 62.5 6.6 Fair
## 443 No 91.1 7.6 Poor
## 444 Yes 79.4 6.6 Fair
## 445 No 79.1 9.0 Poor
## 446 No 78.8 4.8 Good
## 447 Yes 75.9 5.9 Fair
## 448 No 100.0 6.3 Fair
## 449 No 93.4 7.0 Good
## 450 No 85.2 8.0 Fair
## 451 No 98.5 6.5 Fair
## 452 No 69.9 4.8 Poor
## 453 Yes 71.7 7.5 Good
## 454 No 63.2 7.4 Poor
## 455 Yes 78.0 4.2 Fair
## 456 Yes 86.6 6.5 Fair
## 457 Yes 86.0 4.6 Good
## 458 No 86.5 5.7 Good
## 459 No 70.9 5.4 Good
## 460 Yes 93.0 7.5 Poor
## 461 Yes 87.4 6.6 Fair
## 462 No 92.3 5.0 Fair
## 463 Yes 66.1 7.6 Poor
## 464 Yes 88.1 4.8 Fair
## 465 Yes 73.1 6.9 Fair
## 466 No 81.0 5.5 Fair
## 467 No 90.3 6.1 Good
## 468 No 85.9 7.1 Fair
## 469 No 76.5 7.1 Good
## 470 No 85.1 8.1 Fair
## 471 No 69.7 6.4 Fair
## 472 No 96.5 6.9 Fair
## 473 No 82.9 6.0 Poor
## 474 No 96.2 6.7 Poor
## 475 Yes 79.7 7.0 Fair
## 476 No 79.8 6.4 Good
## 477 No 77.4 4.3 Good
## 478 No 93.8 6.9 Poor
## 479 No 77.9 6.9 Good
## 480 No 91.4 5.7 Good
## 481 Yes 81.2 5.0 Good
## 482 No 65.2 8.3 Good
## 483 No 79.3 7.1 Fair
## 484 No 73.2 6.2 Fair
## 485 No 85.3 5.1 Fair
## 486 No 73.1 5.5 Fair
## 487 No 94.3 8.1 Fair
## 488 No 84.1 6.7 Fair
## 489 Yes 83.2 5.8 Good
## 490 No 91.6 7.1 Good
## 491 No 94.6 5.5 Good
## 492 No 84.8 8.3 Good
## 493 No 77.3 8.1 Good
## 494 No 67.3 5.9 Poor
## 495 No 78.1 5.7 Fair
## 496 No 78.8 3.4 Fair
## 497 No 86.1 4.7 Good
## 498 No 81.5 4.9 Fair
## 499 No 91.9 6.7 Good
## 500 Yes 78.9 6.1 Poor
## 501 No 84.4 4.9 Fair
## 502 No 96.8 6.2 Good
## 503 No 88.4 7.1 Poor
## 504 Yes 84.4 7.1 Fair
## 505 No 79.0 4.2 Fair
## 506 No 78.7 6.3 Fair
## 507 No 76.5 4.8 Good
## 508 No 79.6 7.6 Fair
## 509 No 92.6 7.4 Fair
## 510 No 82.8 5.4 Poor
## 511 Yes 71.5 5.6 Good
## 512 No 100.0 5.9 Fair
## 513 No 88.2 3.8 Good
## 514 Yes 70.9 6.9 Good
## 515 No 80.6 6.2 Fair
## 516 No 86.1 7.7 Good
## 517 No 100.0 5.2 Good
## 518 No 73.9 5.8 Fair
## 519 No 94.8 4.7 Poor
## 520 Yes 99.0 5.3 Good
## 521 Yes 78.7 5.1 Good
## 522 No 82.2 7.7 Fair
## 523 No 74.6 5.7 Fair
## 524 No 83.0 6.6 Good
## 525 No 84.6 6.0 Good
## 526 No 91.6 5.0 Good
## 527 No 95.9 6.3 Fair
## 528 No 77.5 7.2 Good
## 529 No 65.3 5.1 Fair
## 530 No 84.8 7.5 Fair
## 531 No 87.9 5.5 Good
## 532 No 87.5 5.9 Good
## 533 Yes 81.7 7.1 Fair
## 534 No 86.2 5.7 Fair
## 535 No 100.0 6.5 Good
## 536 Yes 88.8 6.1 Fair
## 537 No 81.3 6.7 Good
## 538 Yes 80.0 3.6 Good
## 539 No 83.3 4.3 Poor
## 540 No 100.0 7.2 Good
## 541 No 83.2 7.7 Good
## 542 Yes 84.8 5.4 Good
## 543 No 80.2 6.2 Good
## 544 No 96.0 6.9 Good
## 545 No 100.0 7.3 Poor
## 546 No 89.5 4.1 Fair
## 547 Yes 85.8 5.4 Good
## 548 No 85.4 6.1 Fair
## 549 No 61.2 7.3 Poor
## 550 No 92.5 9.5 Good
## 551 Yes 86.3 6.2 Good
## 552 Yes 89.3 4.8 Poor
## 553 Yes 77.9 7.0 Good
## 554 No 81.2 8.1 Good
## 555 No 80.9 6.6 Fair
## 556 No 95.2 5.4 Good
## 557 No 81.2 7.6 Fair
## 558 No 100.0 7.3 Poor
## 559 No 89.3 5.3 Fair
## 560 No 72.2 7.0 Fair
## 561 Yes 83.7 7.7 Fair
## 562 No 78.5 7.9 Good
## 563 No 63.1 6.4 Good
## 564 Yes 100.0 6.1 Fair
## 565 No 92.0 8.0 Good
## 566 No 90.3 5.0 Poor
## 567 No 86.7 7.0 Poor
## 568 No 71.2 4.9 Good
## 569 No 80.2 7.8 Poor
## 570 No 93.4 6.2 Fair
## 571 No 74.5 8.0 Good
## 572 No 59.7 7.1 Fair
## 573 No 82.7 5.0 Good
## 574 No 83.6 8.2 Fair
## 575 No 86.4 8.4 Poor
## 576 No 92.3 7.6 Fair
## 577 No 91.4 5.6 Fair
## 578 Yes 87.6 6.1 Fair
## 579 Yes 97.0 6.7 Fair
## 580 Yes 69.8 5.7 Good
## 581 No 90.0 8.5 Good
## 582 No 91.3 6.7 Fair
## 583 No 72.6 3.3 Fair
## 584 No 70.0 6.9 Fair
## 585 No 77.5 6.1 Good
## 586 No 78.4 6.4 Good
## 587 Yes 92.5 6.1 Fair
## 588 No 78.9 7.5 Good
## 589 No 76.4 7.8 Fair
## 590 No 78.9 6.8 Poor
## 591 No 96.2 6.1 Poor
## 592 No 85.1 6.5 Fair
## 593 Yes 83.2 6.5 Fair
## 594 Yes 83.9 5.5 Poor
## 595 Yes 97.9 7.2 Good
## 596 No 77.5 7.1 Fair
## 597 No 98.2 8.3 Fair
## 598 No 87.1 8.0 Fair
## 599 Yes 83.4 5.7 Poor
## 600 No 100.0 7.5 Fair
## 601 No 74.4 5.4 Fair
## 602 No 81.5 7.3 Fair
## 603 No 72.7 5.9 Poor
## 604 No 94.5 5.3 Fair
## 605 No 100.0 6.8 Poor
## 606 No 100.0 3.3 Good
## 607 No 97.2 4.4 Good
## 608 No 83.0 6.3 Poor
## 609 No 81.3 6.6 Fair
## 610 No 68.3 6.1 Poor
## 611 No 100.0 4.6 Fair
## 612 No 89.7 5.5 Fair
## 613 No 80.1 7.0 Fair
## 614 No 98.3 7.2 Fair
## 615 No 75.3 6.5 Good
## 616 No 89.1 7.9 Fair
## 617 No 83.3 7.0 Fair
## 618 No 91.4 5.6 Fair
## 619 No 84.4 6.2 Good
## 620 No 70.5 4.8 Good
## 621 No 85.8 6.4 Fair
## 622 No 95.5 7.8 Good
## 623 No 84.7 7.3 Fair
## 624 No 92.8 8.2 Good
## 625 No 74.5 6.1 Good
## 626 No 84.7 8.1 Poor
## 627 No 78.8 6.3 Good
## 628 No 92.5 8.3 Fair
## 629 No 85.3 6.5 Fair
## 630 Yes 91.9 7.3 Fair
## 631 No 95.9 8.3 Good
## 632 No 91.9 6.3 Fair
## 633 No 87.7 6.8 Poor
## 634 No 75.0 8.0 Good
## 635 No 85.0 6.3 Poor
## 636 No 79.7 4.9 Poor
## 637 No 81.6 9.1 Fair
## 638 No 81.3 5.9 Fair
## 639 Yes 75.2 6.7 Fair
## 640 No 65.4 7.9 Poor
## 641 Yes 78.3 5.8 Good
## 642 No 86.9 5.3 Good
## 643 No 71.5 6.8 Fair
## 644 No 85.2 4.3 Fair
## 645 No 100.0 6.2 Fair
## 646 Yes 95.2 6.8 Good
## 647 No 100.0 6.2 Poor
## 648 No 88.9 4.6 Poor
## 649 No 96.7 8.4 Good
## 650 No 77.8 6.6 Fair
## 651 No 78.6 8.2 Fair
## 652 Yes 57.6 6.2 Good
## 653 No 96.9 5.4 Good
## 654 No 100.0 6.8 Fair
## 655 No 79.5 6.2 Good
## 656 No 82.5 5.1 Poor
## 657 Yes 77.5 8.3 Good
## 658 No 88.8 5.8 Fair
## 659 Yes 96.2 4.3 Good
## 660 No 67.6 8.1 Good
## 661 No 89.1 5.9 Good
## 662 No 82.2 5.8 Good
## 663 No 86.1 4.4 Fair
## 664 No 89.6 8.6 Fair
## 665 No 83.1 5.0 Fair
## 666 No 84.0 6.6 Good
## 667 Yes 82.9 7.6 Good
## 668 No 94.7 7.0 Fair
## 669 No 89.2 6.4 Good
## 670 No 87.2 4.5 Good
## 671 No 72.3 5.5 Good
## 672 No 81.2 6.7 Good
## 673 No 94.0 5.6 Fair
## 674 No 85.4 6.7 Poor
## 675 No 91.6 7.3 Poor
## 676 No 100.0 7.7 Fair
## 677 No 95.4 5.0 Good
## 678 No 85.9 9.1 Good
## 679 Yes 79.9 7.4 Good
## 680 No 59.5 6.5 Good
## 681 No 83.3 7.8 Poor
## 682 No 81.7 9.3 Poor
## 683 No 88.9 4.8 Poor
## 684 Yes 83.5 6.2 Fair
## 685 No 81.8 3.6 Fair
## 686 No 67.2 6.7 Poor
## 687 Yes 75.6 6.9 Fair
## 688 Yes 89.8 6.5 Poor
## 689 No 100.0 5.7 Good
## 690 No 84.0 4.0 Fair
## 691 Yes 88.3 6.9 Fair
## 692 No 94.5 8.2 Fair
## 693 No 76.9 5.8 Good
## 694 No 88.7 7.0 Fair
## 695 No 77.6 4.6 Fair
## 696 No 93.6 7.0 Good
## 697 No 86.5 6.0 Fair
## 698 No 88.0 5.6 Good
## 699 No 77.2 5.6 Fair
## 700 No 92.1 6.0 Fair
## 701 No 100.0 7.0 Poor
## 702 No 74.9 4.9 Good
## 703 No 81.6 6.0 Fair
## 704 Yes 87.3 6.5 Poor
## 705 No 92.9 5.2 Fair
## 706 No 79.4 8.7 Fair
## 707 No 56.7 5.5 Poor
## 708 No 98.6 5.7 Good
## 709 No 92.6 5.3 Good
## 710 No 67.6 8.7 Poor
## 711 No 78.9 7.2 Fair
## 712 No 100.0 5.4 Good
## 713 Yes 99.5 7.8 Fair
## 714 Yes 94.4 6.7 Fair
## 715 No 83.2 6.8 Fair
## 716 No 85.8 6.1 Good
## 717 No 83.7 5.6 Good
## 718 Yes 96.3 6.9 Good
## 719 No 76.2 5.8 Poor
## 720 Yes 76.9 8.7 Fair
## 721 Yes 95.1 5.0 Good
## 722 Yes 84.6 8.3 Poor
## 723 No 98.8 6.4 Good
## 724 No 78.3 6.9 Good
## 725 No 84.5 7.5 Poor
## 726 No 75.8 5.7 Good
## 727 Yes 85.1 7.5 Fair
## 728 No 70.2 3.3 Good
## 729 No 80.1 5.6 Fair
## 730 No 70.6 5.4 Fair
## 731 Yes 91.9 5.0 Good
## 732 No 92.2 6.2 Good
## 733 No 67.7 7.0 Poor
## 734 No 98.3 7.3 Fair
## 735 No 100.0 6.8 Poor
## 736 Yes 85.5 5.7 Fair
## 737 No 78.6 6.9 Fair
## 738 Yes 100.0 6.6 Fair
## 739 No 71.8 7.6 Fair
## 740 No 85.2 7.4 Poor
## 741 Yes 86.8 6.5 Poor
## 742 No 98.5 5.4 Poor
## 743 No 88.6 5.7 Fair
## 744 Yes 80.0 5.8 Good
## 745 No 75.5 6.1 Poor
## 746 No 81.6 6.8 Good
## 747 No 74.9 7.4 Good
## 748 No 85.5 6.4 Good
## 749 No 79.4 6.5 Good
## 750 No 70.1 6.7 Good
## 751 No 97.6 5.9 Poor
## 752 No 80.0 5.4 Fair
## 753 Yes 72.3 4.4 Good
## 754 No 83.3 5.7 Fair
## 755 No 85.7 7.1 Good
## 756 Yes 67.5 5.7 Poor
## 757 No 88.3 6.2 Good
## 758 No 74.5 7.1 Fair
## 759 No 100.0 7.1 Fair
## 760 Yes 90.2 5.2 Fair
## 761 Yes 81.0 7.7 Good
## 762 No 77.5 7.9 Good
## 763 No 84.0 5.1 Fair
## 764 Yes 91.1 5.5 Good
## 765 No 84.7 7.9 Fair
## 766 Yes 82.8 6.3 Poor
## 767 No 85.6 3.8 Poor
## 768 No 79.0 4.8 Poor
## 769 No 81.6 6.2 Fair
## 770 No 64.1 5.1 Fair
## 771 No 94.7 6.0 Good
## 772 No 88.0 6.5 Good
## 773 No 77.3 8.3 Poor
## 774 No 100.0 6.2 Fair
## 775 Yes 85.9 7.8 Fair
## 776 No 74.6 8.2 Fair
## 777 No 93.6 8.2 Poor
## 778 Yes 89.0 6.8 Poor
## 779 No 88.9 4.1 Good
## 780 Yes 80.7 7.1 Good
## 781 No 89.5 7.8 Poor
## 782 No 82.4 6.4 Fair
## 783 Yes 90.6 8.6 Fair
## 784 No 66.0 7.5 Good
## 785 No 80.7 7.2 Fair
## 786 No 100.0 7.8 Poor
## 787 No 77.3 6.9 Good
## 788 No 79.0 3.5 Fair
## 789 No 80.5 5.9 Fair
## 790 No 72.9 7.9 Fair
## 791 No 62.9 5.5 Fair
## 792 No 82.7 6.2 Fair
## 793 No 86.4 5.2 Fair
## 794 No 84.5 8.6 Fair
## 795 No 83.6 8.5 Poor
## 796 No 85.4 5.4 Good
## 797 No 95.2 6.7 Poor
## 798 No 83.1 5.7 Poor
## 799 No 79.3 7.2 Good
## 800 No 82.2 7.1 Good
## 801 No 90.8 7.5 Good
## 802 No 99.1 6.9 Fair
## 803 No 78.7 10.0 Fair
## 804 No 86.0 5.3 Good
## 805 Yes 88.4 4.4 Good
## 806 No 75.1 6.0 Fair
## 807 No 85.2 4.6 Good
## 808 No 70.3 4.7 Poor
## 809 Yes 67.3 5.3 Good
## 810 No 88.7 5.4 Good
## 811 No 81.2 5.4 Good
## 812 Yes 87.0 7.1 Good
## 813 No 84.8 5.9 Good
## 814 No 75.2 6.3 Poor
## 815 No 84.5 7.6 Fair
## 816 No 72.7 5.6 Poor
## 817 No 98.9 6.2 Fair
## 818 No 71.4 6.9 Good
## 819 No 83.0 4.2 Fair
## 820 No 74.6 3.6 Fair
## 821 No 90.7 6.9 Fair
## 822 No 81.7 7.1 Good
## 823 No 79.8 9.0 Poor
## 824 No 93.5 6.7 Fair
## 825 No 85.3 7.5 Poor
## 826 Yes 90.2 6.3 Good
## 827 No 75.2 6.9 Poor
## 828 No 71.0 8.5 Good
## 829 No 86.1 4.0 Fair
## 830 No 81.8 7.0 Poor
## 831 No 91.3 9.1 Good
## 832 No 84.2 6.8 Poor
## 833 Yes 87.1 8.5 Fair
## 834 No 68.8 5.7 Poor
## 835 Yes 100.0 6.5 Fair
## 836 No 83.4 6.5 Fair
## 837 No 92.0 3.8 Fair
## 838 No 76.6 5.1 Poor
## 839 No 88.1 5.2 Fair
## 840 No 72.0 7.5 Good
## 841 Yes 89.5 7.5 Good
## 842 Yes 81.4 6.9 Fair
## 843 No 85.3 7.5 Fair
## 844 Yes 92.0 6.3 Fair
## 845 Yes 72.7 7.9 Fair
## 846 No 78.2 6.5 Poor
## 847 No 89.6 6.6 Fair
## 848 No 100.0 6.2 Fair
## 849 No 83.6 7.3 Fair
## 850 No 90.9 6.0 Fair
## 851 No 83.9 7.7 Good
## 852 No 100.0 5.1 Poor
## 853 No 67.5 5.2 Good
## 854 No 85.9 7.3 Good
## 855 No 68.7 6.4 Fair
## 856 No 59.9 6.0 Fair
## 857 Yes 88.0 7.6 Fair
## 858 Yes 86.4 5.8 Poor
## 859 Yes 82.2 6.3 Fair
## 860 No 83.9 8.2 Good
## 861 No 100.0 8.3 Poor
## 862 No 82.4 8.4 Fair
## 863 No 90.1 6.2 Good
## 864 No 78.5 8.0 Good
## 865 Yes 88.0 5.4 Fair
## 866 No 82.6 5.4 Good
## 867 No 80.9 3.7 Fair
## 868 No 100.0 8.5 Poor
## 869 No 96.8 5.5 Fair
## 870 Yes 86.4 6.3 Fair
## 871 Yes 62.0 5.4 Good
## 872 Yes 81.4 7.3 Poor
## 873 No 100.0 6.0 Fair
## 874 No 82.7 4.9 Fair
## 875 No 96.0 7.0 Fair
## 876 No 99.4 4.8 Poor
## 877 No 87.2 5.5 Fair
## 878 No 76.6 4.0 Good
## 879 Yes 60.6 4.8 Fair
## 880 No 91.8 6.7 Fair
## 881 No 76.9 4.1 Fair
## 882 Yes 86.8 4.7 Fair
## 883 No 72.5 6.5 Fair
## 884 No 82.3 5.8 Good
## 885 No 85.3 8.9 Good
## 886 No 87.7 8.7 Fair
## 887 No 73.9 5.5 Fair
## 888 No 97.0 7.2 Good
## 889 Yes 79.0 7.4 Fair
## 890 Yes 68.3 5.8 Fair
## 891 Yes 83.9 4.7 Fair
## 892 Yes 85.3 6.5 Good
## 893 No 86.6 6.3 Fair
## 894 No 98.6 6.0 Good
## 895 Yes 82.6 7.0 Good
## 896 No 83.8 5.6 Fair
## 897 Yes 74.0 5.1 Good
## 898 No 93.2 6.6 Good
## 899 No 86.8 7.0 Fair
## 900 No 80.8 5.1 Poor
## 901 No 66.0 7.6 Poor
## 902 No 99.4 4.4 Fair
## 903 No 72.7 5.8 Fair
## 904 No 79.1 6.2 Fair
## 905 Yes 88.6 5.7 Poor
## 906 Yes 73.0 5.8 Good
## 907 Yes 70.1 8.7 Fair
## 908 No 63.8 5.5 Fair
## 909 Yes 92.2 9.4 Fair
## 910 No 79.5 7.0 Fair
## 911 No 100.0 6.6 Fair
## 912 No 75.1 7.1 Fair
## 913 No 75.8 9.5 Poor
## 914 Yes 79.3 5.3 Good
## 915 Yes 87.4 5.2 Good
## 916 No 80.3 5.6 Fair
## 917 No 91.1 6.5 Good
## 918 No 75.2 4.4 Good
## 919 Yes 71.2 6.5 Poor
## 920 No 67.0 8.5 Good
## 921 Yes 62.8 6.7 Good
## 922 No 79.8 6.1 Fair
## 923 No 82.0 5.8 Poor
## 924 No 78.7 7.6 Poor
## 925 Yes 97.4 5.5 Poor
## 926 Yes 97.3 8.7 Good
## 927 No 81.7 8.8 Fair
## 928 No 67.1 6.8 Good
## 929 No 79.3 6.5 Good
## 930 No 79.0 7.7 Good
## 931 No 78.4 7.8 Good
## 932 Yes 78.0 5.5 Poor
## 933 No 78.5 5.9 Fair
## 934 No 81.1 4.9 Good
## 935 No 78.6 7.0 Poor
## 936 Yes 87.1 7.3 Poor
## 937 No 88.6 4.9 Good
## 938 No 75.9 6.0 Good
## 939 No 97.7 4.9 Fair
## 940 No 75.2 5.4 Good
## 941 Yes 68.8 7.2 Good
## 942 No 88.8 5.6 Fair
## 943 No 76.8 6.1 Poor
## 944 No 88.2 4.5 Good
## 945 No 61.0 6.7 Fair
## 946 Yes 98.9 6.4 Poor
## 947 No 91.7 5.6 Fair
## 948 Yes 70.0 6.3 Good
## 949 No 70.2 6.7 Fair
## 950 No 100.0 5.5 Fair
## 951 No 77.6 4.7 Fair
## 952 No 76.7 8.7 Good
## 953 Yes 62.3 5.7 Poor
## 954 No 81.5 6.4 Fair
## 955 No 82.7 7.7 Good
## 956 Yes 92.2 10.0 Poor
## 957 No 71.0 5.0 Good
## 958 No 69.8 7.0 Good
## 959 Yes 89.5 5.7 Good
## 960 No 95.1 5.9 Fair
## 961 Yes 69.3 5.6 Good
## 962 No 95.8 5.1 Good
## 963 Yes 85.4 6.5 Good
## 964 No 95.9 4.7 Poor
## 965 No 84.3 7.6 Good
## 966 No 59.8 6.6 Fair
## 967 No 83.5 7.0 Poor
## 968 No 95.6 5.9 Fair
## 969 No 76.1 6.1 Good
## 970 Yes 81.1 6.8 Fair
## 971 No 83.2 5.1 Fair
## 972 No 56.0 6.1 Good
## 973 No 100.0 5.5 Fair
## 974 No 76.0 5.4 Good
## 975 No 90.1 4.0 Fair
## 976 No 84.1 8.1 Fair
## 977 No 97.6 5.7 Good
## 978 Yes 89.1 7.9 Good
## 979 No 82.7 7.8 Fair
## 980 No 76.1 5.0 Good
## 981 No 93.0 5.2 Poor
## 982 No 66.3 9.6 Fair
## 983 Yes 91.5 8.6 Fair
## 984 No 74.0 6.5 Poor
## 985 No 97.5 6.8 Fair
## 986 Yes 86.6 5.7 Fair
## 987 No 91.4 7.0 Poor
## 988 Yes 85.8 5.6 Fair
## 989 No 67.5 4.1 Fair
## 990 Yes 76.4 4.9 Fair
## 991 No 91.7 6.5 Good
## 992 No 86.7 5.1 Good
## 993 No 96.8 6.4 Fair
## 994 No 89.0 5.2 Good
## 995 No 75.3 5.6 Good
## 996 No 77.0 7.5 Fair
## 997 Yes 86.0 6.8 Poor
## 998 No 61.9 6.5 Good
## 999 Yes 100.0 7.6 Fair
## 1000 No 89.4 7.1 Good
## exercise_frequency parental_education_level internet_quality
## 1 6 Master Average
## 2 6 High School Average
## 3 1 High School Poor
## 4 4 Master Good
## 5 3 Master Good
## 6 1 Master Average
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## 8 0 Bachelor Average
## 9 3 Bachelor Good
## 10 5 Bachelor Good
## 11 1 None Good
## 12 2 Bachelor Average
## 13 1 Bachelor Good
## 14 4 Bachelor Good
## 15 6 Bachelor Average
## 16 6 High School Average
## 17 3 High School Poor
## 18 0 High School Average
## 19 2 High School Good
## 20 1 High School Average
## 21 3 Master Good
## 22 1 High School Good
## 23 3 High School Average
## 24 6 Bachelor Good
## 25 4 Bachelor Average
## 26 1 High School Average
## 27 4 Bachelor Poor
## 28 5 Bachelor Average
## 29 5 High School Poor
## 30 6 High School Poor
## 31 2 Master Average
## 32 4 Bachelor Average
## 33 3 Bachelor Good
## 34 2 None Average
## 35 1 High School Good
## 36 1 Bachelor Average
## 37 3 High School Good
## 38 0 High School Average
## 39 0 Bachelor Good
## 40 1 High School Average
## 41 6 Bachelor Good
## 42 6 Bachelor Average
## 43 3 High School Poor
## 44 0 Bachelor Good
## 45 4 High School Poor
## 46 1 Bachelor Average
## 47 5 High School Average
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## 49 3 Bachelor Good
## 50 5 High School Average
## 51 4 Master Good
## 52 0 High School Average
## 53 6 High School Average
## 54 0 Bachelor Good
## 55 5 High School Good
## 56 2 High School Good
## 57 6 Bachelor Average
## 58 1 Bachelor Average
## 59 5 Master Average
## 60 3 Master Average
## 61 1 High School Average
## 62 4 Bachelor Good
## 63 6 High School Good
## 64 3 Bachelor Average
## 65 3 High School Poor
## 66 0 Master Good
## 67 4 Bachelor Average
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## 71 2 Bachelor Good
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## 81 6 High School Good
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## 83 6 High School Poor
## 84 6 High School Good
## 85 5 Bachelor Average
## 86 4 Bachelor Good
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## 89 6 Bachelor Good
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## 92 5 High School Average
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## 96 0 High School Good
## 97 0 High School Good
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## 110 2 High School Good
## 111 3 Bachelor Average
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## 120 4 High School Average
## 121 6 Bachelor Average
## 122 0 High School Good
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## 160 3 Bachelor Average
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## 162 6 High School Average
## 163 5 Master Average
## 164 2 Master Good
## 165 3 High School Average
## 166 4 High School Good
## 167 1 High School Average
## 168 0 High School Good
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## 176 3 Master Good
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## 180 2 High School Average
## 181 5 None Good
## 182 0 Bachelor Average
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## 184 1 High School Average
## 185 5 Master Poor
## 186 5 Bachelor Good
## 187 3 Bachelor Average
## 188 0 Bachelor Average
## 189 3 High School Poor
## 190 2 High School Average
## 191 6 Master Good
## 192 1 Master Average
## 193 4 Master Good
## 194 4 Master Good
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## 223 6 Bachelor Average
## 224 4 Master Average
## 225 5 Bachelor Poor
## 226 0 Master Average
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## 229 3 High School Average
## 230 4 High School Good
## 231 3 High School Poor
## 232 6 Bachelor Good
## 233 4 Master Average
## 234 3 Master Poor
## 235 5 High School Good
## 236 1 High School Poor
## 237 3 High School Good
## 238 1 High School Average
## 239 1 Bachelor Poor
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## 241 6 Master Poor
## 242 5 Bachelor Poor
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## 249 3 High School Good
## 250 3 High School Good
## 251 2 High School Average
## 252 1 Master Average
## 253 1 High School Good
## 254 4 Bachelor Good
## 255 6 Bachelor Average
## 256 4 High School Average
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## 260 4 Master Good
## 261 1 High School Average
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## 268 3 Bachelor Good
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## 296 6 High School Average
## 297 6 High School Average
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## 301 6 High School Good
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## 311 6 Master Average
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## 313 6 Master Average
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## 341 5 Bachelor Good
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## 344 0 High School Good
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## 347 3 High School Good
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## 349 2 Bachelor Average
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## 351 3 High School Average
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## 355 1 High School Good
## 356 2 High School Average
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## 358 2 Bachelor Average
## 359 5 High School Average
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## 363 5 Master Poor
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## 370 6 Bachelor Average
## 371 1 High School Average
## 372 2 Bachelor Average
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## 380 5 High School Average
## 381 0 Bachelor Average
## 382 4 Bachelor Good
## 383 0 Bachelor Average
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## 385 1 High School Poor
## 386 4 Bachelor Poor
## 387 0 High School Poor
## 388 1 Bachelor Poor
## 389 3 High School Average
## 390 2 High School Average
## 391 2 High School Good
## 392 4 None Average
## 393 0 High School Poor
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## 397 5 Master Average
## 398 4 Bachelor Good
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## 400 3 Bachelor Good
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## 405 6 Bachelor Average
## 406 2 High School Good
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## 410 2 High School Average
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## 412 3 High School Good
## 413 2 High School Average
## 414 3 High School Average
## 415 0 Bachelor Poor
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## 420 6 Master Good
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## 450 6 High School Good
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## 488 6 Bachelor Average
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## 491 3 Master Good
## 492 0 High School Good
## 493 2 High School Good
## 494 5 Bachelor Average
## 495 3 High School Good
## 496 0 Master Good
## 497 6 High School Average
## 498 1 None Average
## 499 6 High School Average
## 500 0 Bachelor Poor
## 501 0 Bachelor Good
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## 503 3 None Average
## 504 0 High School Average
## 505 1 Bachelor Good
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## 507 6 Master Good
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## 509 4 Bachelor Poor
## 510 6 High School Average
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## 535 6 Bachelor Average
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## 550 4 Bachelor Average
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## 553 5 Master Good
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## 558 1 Bachelor Poor
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## 565 3 High School Average
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## 591 6 Bachelor Average
## 592 4 High School Good
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## 595 3 High School Average
## 596 4 Bachelor Average
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## 621 2 None Average
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## 623 0 Bachelor Average
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## 626 5 High School Good
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## 628 2 Bachelor Average
## 629 4 Master Good
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## 650 6 Bachelor Average
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## 654 1 High School Good
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## 656 0 Bachelor Average
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## 658 1 Bachelor Average
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## 660 4 Bachelor Average
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## 684 4 High School Good
## 685 3 Bachelor Good
## 686 6 Bachelor Average
## 687 0 High School Average
## 688 5 Master Average
## 689 6 High School Poor
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## 691 1 High School Average
## 692 5 Bachelor Good
## 693 4 High School Average
## 694 5 High School Average
## 695 6 High School Poor
## 696 4 Bachelor Good
## 697 5 Master Good
## 698 4 High School Good
## 699 4 High School Poor
## 700 3 Bachelor Average
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## 703 1 Master Good
## 704 6 Bachelor Good
## 705 6 High School Good
## 706 1 Bachelor Average
## 707 2 Master Average
## 708 4 Bachelor Average
## 709 4 None Poor
## 710 4 High School Good
## 711 5 High School Good
## 712 4 High School Average
## 713 4 Bachelor Average
## 714 1 Bachelor Good
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## 716 0 Master Good
## 717 2 High School Average
## 718 1 Master Average
## 719 4 Bachelor Good
## 720 0 High School Good
## 721 3 Bachelor Average
## 722 3 High School Good
## 723 3 Bachelor Good
## 724 4 Bachelor Average
## 725 4 High School Average
## 726 2 Bachelor Average
## 727 6 Bachelor Poor
## 728 2 High School Good
## 729 2 None Average
## 730 5 High School Good
## 731 3 Bachelor Good
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## 733 3 Master Average
## 734 2 Bachelor Good
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## 741 3 None Average
## 742 1 Bachelor Good
## 743 4 Bachelor Average
## 744 6 High School Good
## 745 3 High School Good
## 746 2 Master Average
## 747 3 Bachelor Good
## 748 2 High School Average
## 749 5 High School Average
## 750 0 Bachelor Poor
## 751 6 Bachelor Poor
## 752 0 High School Average
## 753 3 High School Good
## 754 1 Master Good
## 755 4 Bachelor Poor
## 756 2 Master Good
## 757 4 Bachelor Good
## 758 0 Master Good
## 759 1 High School Good
## 760 1 Bachelor Average
## 761 4 None Average
## 762 0 Bachelor Good
## 763 4 High School Poor
## 764 3 High School Poor
## 765 1 Master Poor
## 766 1 Master Average
## 767 3 None Average
## 768 0 Bachelor Average
## 769 1 High School Poor
## 770 6 High School Good
## 771 5 Bachelor Good
## 772 5 High School Average
## 773 5 Master Poor
## 774 2 High School Poor
## 775 6 Bachelor Average
## 776 2 Bachelor Average
## 777 0 High School Average
## 778 3 High School Good
## 779 4 Bachelor Average
## 780 6 Bachelor Average
## 781 0 High School Average
## 782 4 Bachelor Good
## 783 0 None Good
## 784 2 High School Good
## 785 5 High School Good
## 786 3 None Average
## 787 2 Bachelor Average
## 788 3 Bachelor Good
## 789 6 Master Poor
## 790 4 Bachelor Good
## 791 0 Master Good
## 792 1 Bachelor Good
## 793 1 Bachelor Poor
## 794 3 Master Good
## 795 5 Bachelor Average
## 796 5 None Poor
## 797 3 Bachelor Average
## 798 2 Master Good
## 799 1 Bachelor Average
## 800 2 Bachelor Average
## 801 4 Bachelor Poor
## 802 1 Master Good
## 803 4 None Good
## 804 0 Bachelor Good
## 805 2 High School Average
## 806 3 Bachelor Average
## 807 1 Bachelor Good
## 808 2 High School Average
## 809 3 High School Good
## 810 0 Bachelor Good
## 811 1 High School Average
## 812 4 High School Average
## 813 0 Bachelor Good
## 814 5 High School Average
## 815 3 High School Average
## 816 1 Master Good
## 817 1 High School Average
## 818 6 High School Good
## 819 6 Bachelor Poor
## 820 0 Bachelor Good
## 821 1 Master Poor
## 822 3 Master Poor
## 823 0 Bachelor Good
## 824 4 High School Good
## 825 0 None Average
## 826 0 High School Average
## 827 4 High School Good
## 828 5 Bachelor Average
## 829 6 Bachelor Good
## 830 3 None Good
## 831 5 Bachelor Good
## 832 5 High School Average
## 833 5 High School Average
## 834 6 Bachelor Good
## 835 2 High School Poor
## 836 6 High School Average
## 837 5 None Poor
## 838 2 High School Poor
## 839 4 Bachelor Average
## 840 6 Master Average
## 841 3 High School Good
## 842 5 High School Average
## 843 1 Bachelor Average
## 844 4 Master Poor
## 845 2 High School Good
## 846 6 High School Average
## 847 3 Bachelor Good
## 848 0 Bachelor Good
## 849 3 High School Poor
## 850 3 Bachelor Average
## 851 5 High School Average
## 852 5 Bachelor Good
## 853 6 Bachelor Good
## 854 6 Master Good
## 855 2 High School Average
## 856 6 High School Good
## 857 2 High School Poor
## 858 5 Master Poor
## 859 5 High School Good
## 860 1 High School Good
## 861 1 High School Poor
## 862 4 Bachelor Poor
## 863 5 High School Poor
## 864 0 High School Poor
## 865 1 High School Average
## 866 2 Master Good
## 867 3 Bachelor Good
## 868 6 Bachelor Good
## 869 6 Master Good
## 870 4 Master Average
## 871 1 High School Good
## 872 3 Master Good
## 873 3 None Average
## 874 1 High School Good
## 875 0 Master Average
## 876 0 High School Good
## 877 4 High School Good
## 878 0 High School Average
## 879 4 Bachelor Good
## 880 2 High School Poor
## 881 1 Bachelor Good
## 882 3 Master Average
## 883 4 Bachelor Poor
## 884 6 High School Average
## 885 0 Master Good
## 886 6 High School Poor
## 887 4 High School Good
## 888 5 None Poor
## 889 4 Bachelor Good
## 890 0 High School Good
## 891 5 High School Average
## 892 5 High School Average
## 893 0 High School Good
## 894 5 Bachelor Good
## 895 1 Bachelor Good
## 896 3 Bachelor Average
## 897 6 High School Average
## 898 1 High School Good
## 899 1 Master Average
## 900 0 None Average
## 901 0 Master Average
## 902 6 High School Good
## 903 3 Master Good
## 904 4 High School Average
## 905 1 High School Poor
## 906 5 Bachelor Poor
## 907 3 Bachelor Average
## 908 1 High School Average
## 909 4 Bachelor Good
## 910 5 Bachelor Average
## 911 1 None Average
## 912 2 None Good
## 913 6 High School Average
## 914 3 High School Good
## 915 6 Bachelor Poor
## 916 0 High School Average
## 917 1 High School Good
## 918 5 High School Good
## 919 5 Bachelor Average
## 920 3 High School Good
## 921 3 None Good
## 922 6 None Average
## 923 5 Master Average
## 924 5 High School Good
## 925 5 Bachelor Average
## 926 1 None Good
## 927 5 High School Good
## 928 0 Bachelor Good
## 929 5 High School Average
## 930 0 Master Average
## 931 1 Master Good
## 932 3 Bachelor Average
## 933 0 Bachelor Average
## 934 1 High School Average
## 935 5 High School Poor
## 936 1 Master Good
## 937 5 Bachelor Average
## 938 6 Bachelor Good
## 939 1 High School Poor
## 940 3 None Good
## 941 0 Master Average
## 942 6 High School Good
## 943 3 High School Good
## 944 2 High School Poor
## 945 5 Bachelor Good
## 946 0 None Average
## 947 3 Bachelor Good
## 948 0 High School Good
## 949 2 Master Good
## 950 4 Bachelor Good
## 951 5 High School Average
## 952 5 Bachelor Poor
## 953 1 High School Average
## 954 5 High School Average
## 955 5 Master Good
## 956 3 High School Average
## 957 6 High School Good
## 958 5 High School Average
## 959 5 High School Average
## 960 2 Master Good
## 961 6 High School Average
## 962 2 Master Good
## 963 0 Master Average
## 964 0 High School Good
## 965 5 High School Poor
## 966 5 Master Average
## 967 1 High School Good
## 968 0 None Good
## 969 3 High School Average
## 970 5 Bachelor Average
## 971 3 Bachelor Average
## 972 5 High School Average
## 973 3 High School Good
## 974 4 Master Good
## 975 3 Bachelor Poor
## 976 6 Bachelor Average
## 977 0 Bachelor Good
## 978 5 High School Average
## 979 0 Bachelor Good
## 980 6 High School Poor
## 981 6 High School Good
## 982 3 Bachelor Average
## 983 2 High School Good
## 984 2 Master Average
## 985 6 High School Average
## 986 2 Master Good
## 987 5 Master Poor
## 988 1 High School Average
## 989 4 Bachelor Average
## 990 3 High School Average
## 991 1 Master Good
## 992 2 High School Good
## 993 3 Bachelor Poor
## 994 1 High School Good
## 995 0 High School Average
## 996 2 High School Good
## 997 1 High School Average
## 998 5 Bachelor Good
## 999 0 Bachelor Average
## 1000 2 Bachelor Average
## mental_health_rating extracurricular_participation exam_score gender.1
## 1 8 Yes 56.2 1
## 2 8 No 100.0 1
## 3 1 No 34.3 2
## 4 1 Yes 26.8 1
## 5 1 No 66.4 1
## 6 4 No 100.0 2
## 7 4 No 89.8 1
## 8 8 No 72.6 1
## 9 1 No 78.9 1
## 10 10 Yes 100.0 1
## 11 3 No 63.3 1
## 12 1 No 74.4 2
## 13 9 No 76.9 1
## 14 10 No 75.8 1
## 15 9 No 78.9 2
## 16 7 No 74.0 2
## 17 8 Yes 55.2 2
## 18 1 Yes 70.8 1
## 19 5 No 43.9 3
## 20 2 No 45.3 2
## 21 1 No 58.5 1
## 22 3 No 82.5 2
## 23 7 No 98.7 3
## 24 1 No 43.7 1
## 25 2 No 54.9 1
## 26 2 Yes 69.9 2
## 27 4 No 73.5 2
## 28 3 No 71.1 2
## 29 3 Yes 82.8 2
## 30 10 Yes 75.7 1
## 31 5 No 70.6 1
## 32 3 Yes 51.3 3
## 33 7 No 52.1 3
## 34 5 No 70.7 1
## 35 4 No 51.2 1
## 36 3 No 72.6 1
## 37 4 No 70.7 1
## 38 2 No 59.4 2
## 39 1 No 58.1 2
## 40 3 No 82.3 2
## 41 2 No 69.7 1
## 42 1 No 66.0 1
## 43 1 Yes 63.5 2
## 44 2 No 65.7 1
## 45 9 No 78.5 1
## 46 5 Yes 75.1 2
## 47 9 Yes 71.0 2
## 48 8 Yes 59.7 1
## 49 6 No 52.6 1
## 50 1 No 96.5 1
## 51 10 Yes 62.0 1
## 52 5 No 59.7 1
## 53 1 No 48.4 1
## 54 7 Yes 70.6 1
## 55 10 No 68.1 1
## 56 8 No 87.2 2
## 57 8 No 66.7 2
## 58 7 Yes 75.2 2
## 59 2 Yes 46.4 1
## 60 5 Yes 97.1 1
## 61 4 No 61.2 1
## 62 5 No 75.0 2
## 63 10 No 94.7 2
## 64 9 No 77.6 2
## 65 4 Yes 68.6 2
## 66 8 No 69.6 1
## 67 8 No 66.5 2
## 68 2 No 62.2 2
## 69 6 No 82.1 1
## 70 5 No 100.0 2
## 71 2 Yes 59.7 1
## 72 10 Yes 55.1 1
## 73 4 Yes 77.1 2
## 74 7 Yes 97.7 1
## 75 1 No 66.9 1
## 76 9 Yes 99.9 1
## 77 10 Yes 100.0 2
## 78 1 No 57.2 1
## 79 5 No 77.3 1
## 80 7 No 91.6 2
## 81 8 No 70.7 2
## 82 2 No 57.6 3
## 83 4 No 60.2 1
## 84 2 Yes 50.5 2
## 85 4 No 51.3 1
## 86 6 No 53.5 2
## 87 6 No 79.2 2
## 88 2 Yes 47.2 2
## 89 4 No 73.4 2
## 90 4 Yes 41.1 2
## 91 1 No 77.8 2
## 92 2 No 63.4 1
## 93 3 No 43.9 2
## 94 5 No 70.2 2
## 95 8 No 81.3 1
## 96 6 No 50.2 2
## 97 3 No 87.9 1
## 98 6 No 80.9 2
## 99 7 Yes 63.9 2
## 100 6 No 65.6 2
## 101 10 Yes 93.2 2
## 102 6 No 74.0 2
## 103 1 No 60.8 2
## 104 3 No 50.4 2
## 105 7 No 74.3 2
## 106 4 Yes 32.8 2
## 107 4 Yes 82.3 2
## 108 7 No 60.4 2
## 109 9 Yes 60.0 1
## 110 2 No 77.5 1
## 111 9 Yes 86.5 2
## 112 3 No 76.9 1
## 113 6 Yes 43.9 1
## 114 4 No 51.3 2
## 115 1 No 83.3 1
## 116 9 No 82.7 1
## 117 6 Yes 94.8 2
## 118 8 No 80.8 2
## 119 2 Yes 58.3 1
## 120 7 No 66.3 1
## 121 6 No 87.9 2
## 122 2 No 60.5 2
## 123 2 No 84.8 2
## 124 4 No 77.0 1
## 125 4 No 61.7 1
## 126 3 No 44.0 2
## 127 8 No 42.4 2
## 128 7 No 88.0 1
## 129 2 No 48.7 2
## 130 3 Yes 26.8 2
## 131 10 No 81.6 1
## 132 9 No 100.0 1
## 133 5 Yes 74.0 1
## 134 2 Yes 78.4 1
## 135 3 No 70.7 2
## 136 8 No 74.3 2
## 137 4 No 67.6 1
## 138 2 No 64.7 2
## 139 2 No 64.1 2
## 140 6 No 83.5 2
## 141 8 No 63.4 2
## 142 7 No 96.2 2
## 143 4 Yes 65.4 2
## 144 2 No 62.0 2
## 145 9 Yes 74.0 2
## 146 4 No 46.7 1
## 147 9 No 75.5 1
## 148 5 Yes 78.1 1
## 149 7 No 85.2 1
## 150 5 No 75.4 1
## 151 2 No 64.2 2
## 152 6 No 69.7 1
## 153 7 No 90.3 1
## 154 6 No 81.4 1
## 155 3 No 65.0 2
## 156 10 No 57.3 2
## 157 8 No 57.7 2
## 158 3 No 56.7 2
## 159 5 Yes 62.3 1
## 160 9 No 77.9 1
## 161 5 No 65.2 2
## 162 7 No 76.8 3
## 163 7 No 83.8 1
## 164 5 No 70.6 2
## 165 2 Yes 63.1 2
## 166 5 No 39.0 2
## 167 7 No 66.7 2
## 168 7 No 72.2 2
## 169 4 Yes 50.1 2
## 170 1 No 62.4 2
## 171 6 No 96.6 2
## 172 3 Yes 85.8 1
## 173 5 No 68.3 2
## 174 4 Yes 83.8 1
## 175 2 No 69.3 2
## 176 7 No 65.3 3
## 177 5 Yes 77.5 2
## 178 7 Yes 55.0 2
## 179 9 No 65.2 3
## 180 4 No 58.1 1
## 181 5 No 69.2 1
## 182 9 No 67.4 2
## 183 10 No 79.9 2
## 184 4 Yes 85.7 1
## 185 5 No 96.2 1
## 186 5 No 40.4 1
## 187 8 No 55.2 1
## 188 4 No 73.8 2
## 189 4 Yes 46.5 1
## 190 7 Yes 60.5 2
## 191 5 No 55.4 2
## 192 6 No 45.1 2
## 193 6 No 69.4 1
## 194 6 No 81.3 2
## 195 10 No 66.6 2
## 196 5 No 26.7 1
## 197 5 No 64.5 2
## 198 9 Yes 87.1 1
## 199 8 Yes 42.2 2
## 200 4 No 61.6 1
## 201 7 No 81.9 1
## 202 8 No 96.5 2
## 203 9 No 85.1 2
## 204 5 No 58.5 2
## 205 3 Yes 78.4 2
## 206 4 No 56.4 3
## 207 10 Yes 92.6 2
## 208 6 Yes 62.3 1
## 209 10 No 75.8 2
## 210 5 Yes 47.1 1
## 211 9 No 66.3 1
## 212 3 Yes 98.3 1
## 213 2 Yes 29.7 2
## 214 6 No 45.5 2
## 215 7 No 100.0 2
## 216 5 Yes 67.5 1
## 217 1 Yes 60.3 1
## 218 3 No 87.0 3
## 219 3 No 48.5 2
## 220 4 No 100.0 1
## 221 10 No 82.1 1
## 222 6 Yes 63.7 2
## 223 5 No 100.0 2
## 224 1 No 41.9 1
## 225 6 No 72.7 1
## 226 9 Yes 74.3 1
## 227 1 No 88.7 2
## 228 8 Yes 96.6 1
## 229 8 Yes 72.6 2
## 230 3 Yes 52.4 2
## 231 9 Yes 100.0 2
## 232 8 No 73.1 1
## 233 3 No 100.0 1
## 234 10 Yes 80.8 1
## 235 5 No 62.9 2
## 236 3 No 71.5 1
## 237 5 No 46.2 2
## 238 9 No 53.8 1
## 239 4 Yes 74.2 2
## 240 6 No 52.5 2
## 241 3 No 51.2 2
## 242 3 No 60.6 2
## 243 5 No 91.5 1
## 244 8 No 87.3 1
## 245 8 No 98.0 2
## 246 3 Yes 47.9 1
## 247 8 No 51.0 2
## 248 8 Yes 90.0 1
## 249 3 No 54.1 1
## 250 10 Yes 58.4 1
## 251 10 No 100.0 2
## 252 2 No 65.2 1
## 253 10 No 85.3 1
## 254 2 No 93.8 2
## 255 9 No 78.8 2
## 256 7 No 85.0 1
## 257 6 No 64.5 1
## 258 7 No 71.0 1
## 259 8 No 90.8 1
## 260 1 No 72.6 1
## 261 8 No 70.9 2
## 262 3 Yes 65.1 2
## 263 3 No 49.1 2
## 264 6 No 62.7 1
## 265 4 No 51.5 2
## 266 4 No 18.4 1
## 267 4 Yes 100.0 1
## 268 10 No 53.3 1
## 269 9 No 76.1 2
## 270 8 No 85.6 1
## 271 3 Yes 63.0 2
## 272 1 No 73.6 1
## 273 1 No 76.2 2
## 274 1 Yes 45.5 2
## 275 4 Yes 58.6 1
## 276 6 No 77.8 2
## 277 4 Yes 61.5 2
## 278 3 No 71.4 1
## 279 8 Yes 93.9 1
## 280 8 No 85.9 1
## 281 6 No 73.8 1
## 282 9 No 83.3 1
## 283 10 No 79.7 2
## 284 1 No 47.1 2
## 285 8 No 91.9 2
## 286 6 Yes 60.6 1
## 287 1 No 46.6 1
## 288 4 Yes 84.2 2
## 289 5 No 95.5 2
## 290 7 Yes 73.5 1
## 291 8 No 75.9 2
## 292 9 No 100.0 1
## 293 6 Yes 74.2 1
## 294 10 Yes 100.0 1
## 295 9 No 94.9 2
## 296 4 No 27.6 1
## 297 8 No 86.2 1
## 298 3 No 60.1 1
## 299 4 Yes 91.3 1
## 300 10 No 93.8 1
## 301 4 Yes 61.6 1
## 302 6 No 41.7 2
## 303 9 No 74.5 1
## 304 6 No 63.7 1
## 305 1 No 39.6 2
## 306 5 Yes 87.5 1
## 307 9 No 100.0 1
## 308 5 No 75.4 1
## 309 6 Yes 61.5 2
## 310 3 Yes 73.3 2
## 311 8 No 96.3 3
## 312 10 No 67.0 1
## 313 4 No 70.1 2
## 314 4 No 84.2 1
## 315 5 Yes 48.9 1
## 316 10 No 98.8 1
## 317 9 No 76.1 1
## 318 8 Yes 80.4 2
## 319 7 No 64.1 2
## 320 5 Yes 59.4 2
## 321 9 Yes 94.2 1
## 322 9 Yes 67.8 2
## 323 10 No 96.1 2
## 324 10 No 70.2 2
## 325 2 No 84.2 1
## 326 4 No 75.4 1
## 327 8 No 41.7 2
## 328 1 No 23.1 2
## 329 5 No 50.3 1
## 330 8 No 100.0 2
## 331 2 No 52.2 2
## 332 2 Yes 100.0 2
## 333 8 No 71.2 2
## 334 10 No 72.3 2
## 335 9 No 100.0 1
## 336 7 Yes 100.0 2
## 337 8 Yes 100.0 1
## 338 5 No 93.1 2
## 339 1 Yes 67.7 1
## 340 4 Yes 77.9 1
## 341 2 No 80.3 2
## 342 3 No 44.3 1
## 343 3 No 54.7 2
## 344 9 No 85.0 3
## 345 10 Yes 81.7 2
## 346 4 No 71.6 2
## 347 2 Yes 73.7 2
## 348 3 No 77.0 3
## 349 3 No 72.3 1
## 350 7 No 100.0 1
## 351 8 No 54.0 2
## 352 6 No 70.4 1
## 353 4 Yes 47.0 2
## 354 6 No 48.7 1
## 355 1 No 47.6 2
## 356 10 No 81.1 2
## 357 8 No 100.0 2
## 358 1 No 81.9 2
## 359 5 No 56.3 1
## 360 2 Yes 100.0 2
## 361 6 No 81.0 1
## 362 9 Yes 84.9 2
## 363 5 No 67.9 1
## 364 4 No 56.9 2
## 365 2 No 45.9 2
## 366 3 No 76.0 1
## 367 6 Yes 94.8 2
## 368 8 No 99.3 2
## 369 8 No 71.0 1
## 370 5 No 70.9 1
## 371 5 Yes 59.8 2
## 372 10 No 36.0 2
## 373 3 No 68.4 1
## 374 7 Yes 72.9 2
## 375 6 No 57.3 2
## 376 1 Yes 50.3 2
## 377 4 No 65.7 1
## 378 6 Yes 67.9 1
## 379 6 No 63.6 2
## 380 3 No 32.9 2
## 381 6 No 67.7 2
## 382 10 No 100.0 1
## 383 6 No 96.8 2
## 384 9 Yes 71.0 2
## 385 9 No 59.8 1
## 386 2 No 64.2 2
## 387 4 No 45.2 1
## 388 9 Yes 82.9 2
## 389 4 Yes 73.2 2
## 390 8 No 79.6 2
## 391 10 No 73.0 1
## 392 3 No 72.6 1
## 393 3 No 45.2 1
## 394 9 No 51.8 2
## 395 10 No 92.0 1
## 396 8 No 77.8 2
## 397 1 No 97.2 2
## 398 10 Yes 71.9 1
## 399 2 Yes 69.1 2
## 400 3 Yes 59.6 2
## 401 2 No 60.4 2
## 402 3 Yes 48.3 2
## 403 8 Yes 50.1 2
## 404 6 No 74.9 1
## 405 7 Yes 85.6 2
## 406 10 Yes 65.4 1
## 407 10 Yes 82.4 1
## 408 6 Yes 67.3 2
## 409 1 No 34.3 2
## 410 3 No 53.0 2
## 411 1 No 78.0 1
## 412 10 No 58.2 2
## 413 9 No 73.7 1
## 414 9 No 60.3 2
## 415 5 Yes 78.7 1
## 416 4 Yes 68.3 2
## 417 9 No 49.9 2
## 418 9 Yes 100.0 1
## 419 3 Yes 54.7 1
## 420 5 No 58.7 2
## 421 3 No 70.8 1
## 422 10 Yes 87.1 1
## 423 2 Yes 29.5 1
## 424 1 No 53.2 1
## 425 10 No 73.0 2
## 426 2 Yes 71.1 2
## 427 8 No 80.9 2
## 428 8 No 75.1 1
## 429 3 No 52.4 1
## 430 7 No 67.6 2
## 431 7 Yes 35.7 2
## 432 2 No 29.9 1
## 433 9 No 70.7 3
## 434 3 Yes 89.3 1
## 435 2 No 26.2 2
## 436 3 Yes 58.3 2
## 437 2 Yes 78.4 2
## 438 8 No 100.0 1
## 439 5 Yes 66.8 2
## 440 3 No 63.8 1
## 441 5 No 76.1 2
## 442 8 No 82.7 1
## 443 7 No 65.0 1
## 444 6 No 66.8 1
## 445 1 Yes 64.9 2
## 446 10 No 63.1 2
## 447 1 No 56.3 2
## 448 1 Yes 93.6 1
## 449 10 Yes 91.9 1
## 450 8 Yes 74.0 1
## 451 8 No 62.7 1
## 452 7 No 58.6 1
## 453 6 No 89.3 2
## 454 4 No 63.4 1
## 455 1 No 46.7 2
## 456 9 No 100.0 2
## 457 1 No 68.7 1
## 458 4 No 58.9 2
## 459 3 No 59.0 2
## 460 7 No 77.9 1
## 461 5 No 72.3 2
## 462 5 No 49.7 1
## 463 4 No 80.9 2
## 464 1 No 44.5 2
## 465 5 No 85.3 2
## 466 4 No 83.2 2
## 467 10 No 59.7 1
## 468 8 No 98.1 2
## 469 2 Yes 66.8 1
## 470 8 Yes 96.1 2
## 471 1 No 60.4 1
## 472 4 No 33.8 1
## 473 3 No 56.1 1
## 474 5 No 80.6 2
## 475 5 No 52.6 2
## 476 5 Yes 52.1 2
## 477 4 Yes 39.9 1
## 478 8 No 84.0 2
## 479 3 Yes 97.7 1
## 480 4 No 43.3 1
## 481 1 No 55.9 2
## 482 7 No 84.6 1
## 483 1 No 67.0 2
## 484 2 No 76.0 2
## 485 7 Yes 56.9 1
## 486 1 No 77.5 1
## 487 3 No 69.4 1
## 488 6 Yes 94.6 2
## 489 6 Yes 93.4 2
## 490 6 Yes 100.0 1
## 491 2 Yes 63.6 1
## 492 2 No 53.0 1
## 493 6 No 67.8 2
## 494 10 No 73.9 1
## 495 5 No 66.5 2
## 496 7 No 49.9 2
## 497 7 No 73.9 1
## 498 5 No 80.3 2
## 499 8 No 71.7 1
## 500 10 No 83.3 2
## 501 6 No 84.5 2
## 502 5 No 74.9 1
## 503 4 Yes 34.0 1
## 504 7 No 63.0 1
## 505 4 No 77.9 1
## 506 5 Yes 72.9 1
## 507 5 No 53.2 1
## 508 1 No 57.3 1
## 509 1 Yes 76.6 2
## 510 3 No 64.6 1
## 511 3 Yes 51.1 2
## 512 2 No 63.0 3
## 513 2 Yes 61.6 1
## 514 6 No 62.5 2
## 515 1 Yes 87.1 1
## 516 6 Yes 82.5 1
## 517 5 Yes 80.9 2
## 518 6 No 100.0 1
## 519 5 No 79.6 1
## 520 7 No 71.2 2
## 521 1 No 62.7 1
## 522 3 No 64.2 2
## 523 6 Yes 44.1 1
## 524 1 No 61.7 3
## 525 7 Yes 39.9 1
## 526 4 No 84.1 2
## 527 3 No 40.7 1
## 528 10 No 81.8 1
## 529 9 Yes 77.0 2
## 530 1 No 65.7 1
## 531 8 Yes 80.9 2
## 532 1 Yes 47.4 1
## 533 5 Yes 83.0 2
## 534 10 No 54.2 2
## 535 8 No 82.5 2
## 536 6 No 85.0 1
## 537 7 Yes 40.4 2
## 538 8 No 58.9 1
## 539 6 No 67.5 2
## 540 6 Yes 81.0 2
## 541 6 Yes 74.7 1
## 542 5 No 67.4 1
## 543 8 No 72.2 2
## 544 2 No 77.1 1
## 545 7 No 87.9 1
## 546 4 Yes 54.1 1
## 547 1 Yes 62.9 2
## 548 5 No 95.6 2
## 549 3 No 67.1 1
## 550 4 No 51.5 2
## 551 7 No 97.9 1
## 552 5 No 67.0 1
## 553 4 Yes 31.5 1
## 554 1 No 88.0 1
## 555 6 No 53.4 3
## 556 10 Yes 83.4 2
## 557 6 No 79.0 1
## 558 7 Yes 69.9 2
## 559 1 Yes 60.1 2
## 560 4 No 70.3 1
## 561 9 No 79.8 1
## 562 10 Yes 66.6 3
## 563 6 No 91.7 1
## 564 2 No 70.1 2
## 565 4 No 61.5 2
## 566 6 No 79.3 1
## 567 4 Yes 63.9 2
## 568 10 Yes 93.1 2
## 569 7 Yes 89.8 2
## 570 3 Yes 100.0 2
## 571 6 Yes 61.8 2
## 572 4 Yes 51.5 2
## 573 3 No 60.4 2
## 574 3 No 67.2 2
## 575 2 No 89.6 3
## 576 3 Yes 48.3 2
## 577 10 No 61.7 2
## 578 1 Yes 44.4 1
## 579 3 No 77.2 2
## 580 9 Yes 100.0 1
## 581 4 No 73.0 1
## 582 3 No 68.5 2
## 583 8 No 61.0 2
## 584 1 Yes 70.5 1
## 585 5 No 52.5 1
## 586 1 No 62.8 2
## 587 7 Yes 83.5 1
## 588 5 No 71.4 2
## 589 2 No 61.5 3
## 590 1 No 75.4 2
## 591 7 No 42.0 1
## 592 1 No 64.0 1
## 593 3 No 60.1 1
## 594 6 No 34.7 1
## 595 6 No 88.0 2
## 596 7 No 100.0 2
## 597 1 No 66.1 2
## 598 7 No 95.5 2
## 599 2 Yes 86.4 1
## 600 6 No 77.3 2
## 601 8 Yes 90.2 2
## 602 5 Yes 80.2 3
## 603 10 Yes 72.9 1
## 604 3 No 35.8 1
## 605 8 Yes 72.8 3
## 606 8 No 67.6 2
## 607 4 No 93.1 2
## 608 8 Yes 57.5 1
## 609 5 Yes 61.1 1
## 610 5 No 77.4 2
## 611 3 No 69.6 1
## 612 7 No 100.0 2
## 613 9 No 69.3 2
## 614 9 No 85.7 1
## 615 1 No 53.9 1
## 616 1 No 43.7 1
## 617 10 No 79.3 2
## 618 5 No 71.3 1
## 619 1 Yes 61.4 2
## 620 4 No 45.1 2
## 621 1 No 39.8 1
## 622 2 No 70.7 1
## 623 2 Yes 35.6 1
## 624 4 No 93.0 1
## 625 8 Yes 83.2 1
## 626 2 Yes 46.6 1
## 627 9 Yes 70.8 2
## 628 9 No 78.3 2
## 629 2 Yes 70.7 2
## 630 1 No 82.6 2
## 631 10 Yes 50.3 1
## 632 10 No 80.9 1
## 633 9 Yes 75.4 2
## 634 2 Yes 83.7 2
## 635 8 No 76.8 1
## 636 3 No 45.8 2
## 637 1 Yes 58.4 1
## 638 1 Yes 70.3 1
## 639 10 Yes 99.4 1
## 640 2 No 62.9 1
## 641 7 No 98.0 1
## 642 6 No 74.7 2
## 643 2 Yes 50.4 1
## 644 4 No 49.4 1
## 645 2 Yes 35.3 2
## 646 1 Yes 46.3 1
## 647 3 No 68.4 1
## 648 4 No 84.2 1
## 649 10 Yes 54.6 1
## 650 5 No 88.0 1
## 651 5 No 61.5 1
## 652 7 No 75.7 1
## 653 10 No 100.0 1
## 654 8 No 82.6 1
## 655 9 No 71.5 1
## 656 7 No 57.6 1
## 657 5 No 36.1 2
## 658 9 Yes 67.4 1
## 659 8 No 74.8 1
## 660 10 Yes 73.6 2
## 661 9 Yes 79.5 1
## 662 10 No 62.5 2
## 663 8 Yes 76.3 2
## 664 6 No 75.6 1
## 665 4 No 64.4 2
## 666 9 No 75.3 1
## 667 9 Yes 50.4 1
## 668 10 Yes 100.0 1
## 669 10 No 76.4 2
## 670 9 No 69.9 2
## 671 10 Yes 88.9 1
## 672 3 Yes 70.4 3
## 673 3 No 69.4 1
## 674 6 Yes 84.9 2
## 675 6 No 63.6 1
## 676 6 No 82.2 1
## 677 5 No 37.4 1
## 678 5 No 73.8 2
## 679 2 Yes 53.4 1
## 680 7 No 64.2 1
## 681 4 No 70.4 3
## 682 3 No 51.5 2
## 683 8 No 53.4 1
## 684 4 No 77.2 1
## 685 4 Yes 59.8 2
## 686 8 No 55.4 1
## 687 1 No 69.9 1
## 688 9 No 71.6 2
## 689 7 No 92.9 2
## 690 2 No 72.4 1
## 691 6 No 70.5 2
## 692 8 No 100.0 1
## 693 5 Yes 37.4 2
## 694 6 No 88.7 1
## 695 10 No 88.6 2
## 696 8 No 68.5 1
## 697 6 No 100.0 3
## 698 9 No 66.9 3
## 699 9 No 71.5 1
## 700 9 No 77.8 2
## 701 6 Yes 67.7 1
## 702 9 Yes 96.4 2
## 703 3 No 83.1 2
## 704 5 No 37.9 2
## 705 2 Yes 76.3 1
## 706 8 Yes 52.6 1
## 707 4 No 83.6 1
## 708 6 No 92.0 2
## 709 6 No 53.2 2
## 710 5 Yes 56.4 3
## 711 1 No 58.1 2
## 712 7 No 70.9 2
## 713 10 No 98.7 2
## 714 8 No 83.3 1
## 715 1 Yes 80.6 1
## 716 10 No 91.3 2
## 717 7 Yes 63.5 2
## 718 4 Yes 66.3 1
## 719 6 No 49.9 1
## 720 9 No 68.9 2
## 721 5 No 94.2 1
## 722 8 No 100.0 2
## 723 5 No 58.6 2
## 724 2 No 53.2 1
## 725 4 Yes 70.5 2
## 726 2 No 64.0 1
## 727 7 Yes 77.4 2
## 728 7 No 57.4 2
## 729 3 Yes 59.9 3
## 730 7 No 66.7 2
## 731 1 No 58.4 1
## 732 1 No 63.6 2
## 733 9 No 62.6 2
## 734 6 No 70.6 2
## 735 5 No 75.2 1
## 736 6 No 50.1 2
## 737 6 No 72.8 1
## 738 1 Yes 72.7 2
## 739 5 Yes 76.0 3
## 740 9 Yes 74.1 2
## 741 4 Yes 79.0 1
## 742 3 No 51.3 1
## 743 1 Yes 71.0 1
## 744 2 Yes 76.4 1
## 745 3 Yes 52.6 1
## 746 4 No 74.0 1
## 747 7 No 42.6 2
## 748 6 No 49.8 2
## 749 8 No 45.7 1
## 750 9 Yes 77.2 1
## 751 6 No 98.5 1
## 752 7 No 96.2 1
## 753 4 Yes 71.3 2
## 754 2 No 59.2 2
## 755 9 No 51.8 1
## 756 9 No 59.3 2
## 757 4 No 58.5 2
## 758 3 Yes 44.5 1
## 759 10 Yes 75.4 2
## 760 6 Yes 54.9 1
## 761 3 Yes 30.2 2
## 762 1 Yes 71.8 1
## 763 4 No 51.8 2
## 764 1 Yes 59.5 2
## 765 2 No 96.6 2
## 766 3 No 44.1 2
## 767 8 No 30.5 2
## 768 10 No 63.7 2
## 769 4 No 74.0 1
## 770 4 No 98.8 2
## 771 10 No 53.0 1
## 772 9 No 84.6 1
## 773 7 No 73.0 1
## 774 2 Yes 57.1 2
## 775 3 No 100.0 1
## 776 4 No 36.2 2
## 777 4 No 65.6 2
## 778 10 Yes 87.5 3
## 779 8 No 100.0 2
## 780 10 No 85.6 1
## 781 10 Yes 89.4 1
## 782 6 No 66.9 1
## 783 3 No 56.0 1
## 784 9 No 77.9 2
## 785 10 No 91.3 2
## 786 8 No 68.4 1
## 787 9 No 85.3 2
## 788 5 Yes 64.4 2
## 789 3 No 82.8 2
## 790 4 No 78.0 2
## 791 5 No 31.5 2
## 792 9 No 92.3 2
## 793 9 Yes 50.1 1
## 794 3 No 49.4 1
## 795 7 No 80.3 1
## 796 6 Yes 89.7 2
## 797 4 Yes 33.6 2
## 798 5 Yes 100.0 2
## 799 10 No 90.6 1
## 800 2 Yes 66.3 1
## 801 7 Yes 86.1 2
## 802 4 No 65.5 1
## 803 2 No 82.9 2
## 804 6 Yes 76.3 1
## 805 2 Yes 59.0 1
## 806 10 Yes 76.1 1
## 807 2 Yes 40.3 1
## 808 7 Yes 65.2 1
## 809 1 No 43.9 2
## 810 7 Yes 89.5 1
## 811 10 No 80.7 2
## 812 5 No 53.0 1
## 813 1 No 70.6 1
## 814 6 No 65.5 1
## 815 7 No 75.1 2
## 816 1 No 43.5 1
## 817 9 No 80.6 1
## 818 7 Yes 88.2 1
## 819 1 Yes 48.5 2
## 820 3 No 67.3 2
## 821 5 No 50.7 2
## 822 4 No 35.4 2
## 823 2 No 49.1 1
## 824 1 No 85.4 2
## 825 4 No 83.9 3
## 826 7 No 90.4 2
## 827 4 No 87.8 2
## 828 9 No 87.5 1
## 829 8 No 58.2 1
## 830 8 Yes 73.2 1
## 831 5 No 83.5 1
## 832 1 Yes 77.6 1
## 833 9 Yes 98.4 2
## 834 2 No 78.5 3
## 835 6 Yes 81.1 3
## 836 10 No 100.0 1
## 837 5 Yes 58.7 2
## 838 10 No 62.6 1
## 839 8 Yes 60.3 2
## 840 3 No 63.9 2
## 841 6 Yes 80.0 2
## 842 6 No 62.6 2
## 843 10 No 71.4 1
## 844 3 No 60.6 1
## 845 7 Yes 47.2 1
## 846 4 Yes 78.1 2
## 847 5 Yes 75.5 2
## 848 9 No 73.5 2
## 849 6 No 74.6 3
## 850 10 No 98.7 2
## 851 4 Yes 49.2 1
## 852 8 No 67.4 1
## 853 9 No 72.5 2
## 854 10 Yes 68.4 1
## 855 5 No 70.0 1
## 856 2 No 56.1 1
## 857 6 Yes 81.5 1
## 858 8 Yes 45.0 2
## 859 5 Yes 84.4 2
## 860 1 No 36.8 1
## 861 8 Yes 65.6 1
## 862 9 Yes 93.5 2
## 863 1 No 93.7 1
## 864 8 Yes 42.3 1
## 865 10 Yes 53.3 1
## 866 2 No 65.9 2
## 867 4 Yes 87.9 1
## 868 2 No 94.5 1
## 869 2 No 77.8 2
## 870 10 No 74.6 2
## 871 3 No 67.5 3
## 872 8 Yes 66.5 2
## 873 4 No 78.4 1
## 874 7 No 84.9 1
## 875 10 No 96.6 2
## 876 3 No 100.0 1
## 877 10 No 83.1 2
## 878 3 No 36.9 1
## 879 2 No 60.0 2
## 880 6 No 44.3 1
## 881 6 No 41.6 2
## 882 1 No 45.5 2
## 883 7 No 68.2 3
## 884 4 No 75.5 2
## 885 3 No 40.9 1
## 886 8 No 100.0 2
## 887 2 Yes 65.6 1
## 888 9 No 75.9 2
## 889 8 Yes 69.8 3
## 890 8 No 66.6 2
## 891 3 No 84.5 2
## 892 4 Yes 65.6 2
## 893 2 No 46.8 2
## 894 2 No 67.7 1
## 895 4 Yes 45.4 2
## 896 6 No 57.0 1
## 897 5 No 58.4 2
## 898 1 Yes 70.8 2
## 899 10 No 75.7 1
## 900 1 No 55.7 1
## 901 6 Yes 82.1 2
## 902 3 Yes 71.4 2
## 903 3 No 66.7 2
## 904 7 No 70.9 1
## 905 1 Yes 73.0 1
## 906 1 Yes 53.9 2
## 907 10 No 43.4 1
## 908 3 No 55.4 1
## 909 8 No 100.0 1
## 910 1 No 71.8 1
## 911 10 No 89.2 2
## 912 4 No 83.9 2
## 913 9 No 89.1 2
## 914 4 No 53.5 2
## 915 10 No 72.9 1
## 916 8 No 61.0 1
## 917 7 No 69.1 2
## 918 3 No 77.2 2
## 919 7 No 71.9 2
## 920 7 Yes 74.7 1
## 921 10 No 74.5 2
## 922 3 No 85.4 1
## 923 2 Yes 44.3 2
## 924 9 No 53.4 2
## 925 1 Yes 57.4 3
## 926 7 No 53.6 3
## 927 4 Yes 58.8 2
## 928 2 No 43.5 1
## 929 2 No 65.6 1
## 930 8 Yes 89.8 1
## 931 7 No 89.5 2
## 932 7 Yes 68.8 1
## 933 5 No 76.8 1
## 934 10 No 47.5 1
## 935 8 Yes 89.3 2
## 936 2 No 62.0 2
## 937 2 Yes 66.1 2
## 938 5 No 41.7 1
## 939 1 No 28.0 2
## 940 6 No 71.0 1
## 941 4 No 67.5 3
## 942 6 No 63.4 2
## 943 7 No 50.2 1
## 944 3 No 72.0 2
## 945 8 Yes 67.9 1
## 946 7 No 100.0 2
## 947 1 Yes 55.0 1
## 948 6 Yes 59.9 1
## 949 7 No 63.2 1
## 950 4 No 84.5 1
## 951 2 No 50.8 1
## 952 10 No 94.0 1
## 953 9 No 65.6 1
## 954 7 No 61.7 1
## 955 1 Yes 66.0 2
## 956 8 No 86.9 1
## 957 3 No 59.6 1
## 958 4 No 49.1 1
## 959 5 No 31.1 2
## 960 1 No 45.7 1
## 961 6 No 100.0 2
## 962 10 No 81.1 1
## 963 6 No 55.1 2
## 964 2 No 53.3 1
## 965 10 Yes 89.1 3
## 966 6 Yes 77.3 2
## 967 8 Yes 56.4 3
## 968 6 No 76.1 2
## 969 4 No 74.6 1
## 970 4 No 83.0 1
## 971 9 Yes 85.9 1
## 972 6 No 64.5 1
## 973 8 No 91.9 1
## 974 8 No 74.6 2
## 975 7 No 70.9 2
## 976 3 No 66.7 1
## 977 10 Yes 77.4 1
## 978 1 Yes 99.0 1
## 979 5 Yes 43.5 1
## 980 10 No 53.4 2
## 981 10 Yes 81.0 1
## 982 2 No 66.2 2
## 983 10 No 88.0 1
## 984 2 No 64.4 2
## 985 7 No 82.4 2
## 986 3 Yes 80.9 2
## 987 8 No 59.6 2
## 988 9 No 56.2 1
## 989 8 Yes 72.5 2
## 990 6 No 47.6 2
## 991 5 No 63.6 2
## 992 3 No 85.3 2
## 993 3 No 71.8 2
## 994 7 No 70.9 2
## 995 5 No 41.7 1
## 996 6 Yes 76.1 1
## 997 6 Yes 65.9 1
## 998 9 Yes 64.4 2
## 999 1 No 69.7 2
## 1000 8 No 74.9 1
## part_time_job.1 diet_quality.1 parental_education_level.1
## 1 1 1 3
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## 758 2 2
## 759 2 2
## 760 1 2
## 761 1 2
## 762 2 2
## 763 3 1
## 764 3 2
## 765 3 1
## 766 1 1
## 767 1 1
## 768 1 1
## 769 3 1
## 770 2 1
## 771 2 1
## 772 1 1
## 773 3 1
## 774 3 2
## 775 1 1
## 776 1 1
## 777 1 1
## 778 2 2
## 779 1 1
## 780 1 1
## 781 1 2
## 782 2 1
## 783 2 1
## 784 2 1
## 785 2 1
## 786 1 1
## 787 1 1
## 788 2 2
## 789 3 1
## 790 2 1
## 791 2 1
## 792 2 1
## 793 3 2
## 794 2 1
## 795 1 1
## 796 3 2
## 797 1 2
## 798 2 2
## 799 1 1
## 800 1 2
## 801 3 2
## 802 2 1
## 803 2 1
## 804 2 2
## 805 1 2
## 806 1 2
## 807 2 2
## 808 1 2
## 809 2 1
## 810 2 2
## 811 1 1
## 812 1 1
## 813 2 1
## 814 1 1
## 815 1 1
## 816 2 1
## 817 1 1
## 818 2 2
## 819 3 2
## 820 2 1
## 821 3 1
## 822 3 1
## 823 2 1
## 824 2 1
## 825 1 1
## 826 1 1
## 827 2 1
## 828 1 1
## 829 2 1
## 830 2 2
## 831 2 1
## 832 1 2
## 833 1 2
## 834 2 1
## 835 3 2
## 836 1 1
## 837 3 2
## 838 3 1
## 839 1 2
## 840 1 1
## 841 2 2
## 842 1 1
## 843 1 1
## 844 3 1
## 845 2 2
## 846 1 2
## 847 2 2
## 848 2 1
## 849 3 1
## 850 1 1
## 851 1 2
## 852 2 1
## 853 2 1
## 854 2 2
## 855 1 1
## 856 2 1
## 857 3 2
## 858 3 2
## 859 2 2
## 860 2 1
## 861 3 2
## 862 3 2
## 863 3 1
## 864 3 2
## 865 1 2
## 866 2 1
## 867 2 2
## 868 2 1
## 869 2 1
## 870 1 1
## 871 2 1
## 872 2 2
## 873 1 1
## 874 2 1
## 875 1 1
## 876 2 1
## 877 2 1
## 878 1 1
## 879 2 1
## 880 3 1
## 881 2 1
## 882 1 1
## 883 3 1
## 884 1 1
## 885 2 1
## 886 3 1
## 887 2 2
## 888 3 1
## 889 2 2
## 890 2 1
## 891 1 1
## 892 1 2
## 893 2 1
## 894 2 1
## 895 2 2
## 896 1 1
## 897 1 1
## 898 2 2
## 899 1 1
## 900 1 1
## 901 1 2
## 902 2 2
## 903 2 1
## 904 1 1
## 905 3 2
## 906 3 2
## 907 1 1
## 908 1 1
## 909 2 1
## 910 1 1
## 911 1 1
## 912 2 1
## 913 1 1
## 914 2 1
## 915 3 1
## 916 1 1
## 917 2 1
## 918 2 1
## 919 1 1
## 920 2 2
## 921 2 1
## 922 1 1
## 923 1 2
## 924 2 1
## 925 1 2
## 926 2 1
## 927 2 2
## 928 2 1
## 929 1 1
## 930 1 2
## 931 2 1
## 932 1 2
## 933 1 1
## 934 1 1
## 935 3 2
## 936 2 1
## 937 1 2
## 938 2 1
## 939 3 1
## 940 2 1
## 941 1 1
## 942 2 1
## 943 2 1
## 944 3 1
## 945 2 2
## 946 1 1
## 947 2 2
## 948 2 2
## 949 2 1
## 950 2 1
## 951 1 1
## 952 3 1
## 953 1 1
## 954 1 1
## 955 2 2
## 956 1 1
## 957 2 1
## 958 1 1
## 959 1 1
## 960 2 1
## 961 1 1
## 962 2 1
## 963 1 1
## 964 2 1
## 965 3 2
## 966 1 2
## 967 2 2
## 968 2 1
## 969 1 1
## 970 1 1
## 971 1 2
## 972 1 1
## 973 2 1
## 974 2 1
## 975 3 1
## 976 1 1
## 977 2 2
## 978 1 2
## 979 2 2
## 980 3 1
## 981 2 2
## 982 1 1
## 983 2 1
## 984 1 1
## 985 1 1
## 986 2 2
## 987 3 1
## 988 1 1
## 989 1 2
## 990 1 1
## 991 2 1
## 992 2 1
## 993 3 1
## 994 2 1
## 995 1 1
## 996 2 2
## 997 1 2
## 998 2 2
## 999 1 1
## 1000 1 1
gender <- unique(siswa2[c("gender","gender.1")])
part_time_job <- unique(siswa2[c("part_time_job","part_time_job.1")])
diet_quality <- unique(siswa2[c("diet_quality","diet_quality.1")])
parental_education_level <- unique(siswa2[c("parental_education_level","parental_education_level.1")])
internet_quality <- unique(siswa2[c("internet_quality","internet_quality.1")])
extracurricular_participation <- unique(siswa2[c("extracurricular_participation","extracurricular_participation.1")])
gender
## gender gender.1
## 1 Female 1
## 3 Male 2
## 19 Other 3
part_time_job
## part_time_job part_time_job.1
## 1 No 1
## 7 Yes 2
diet_quality
## diet_quality diet_quality.1
## 1 Fair 1
## 2 Good 2
## 3 Poor 3
parental_education_level
## parental_education_level parental_education_level.1
## 1 Master 3
## 2 High School 2
## 8 Bachelor 1
## 11 None 4
internet_quality
## internet_quality internet_quality.1
## 1 Average 1
## 3 Poor 3
## 4 Good 2
extracurricular_participation
## extracurricular_participation extracurricular_participation.1
## 1 Yes 2
## 2 No 1
set.seed(100)
field_yang_digunakan = c("age","gender.1","study_hours_per_day","social_media_hours","part_time_job.1","attendance_percentage","sleep_hours","diet_quality.1","exercise_frequency","parental_education_level.1", "internet_quality.1","mental_health_rating","extracurricular_participation.1","exam_score")
segmentasi <- kmeans(x=siswa2[field_yang_digunakan], centers=5, nstart=25)
segmentasi
## K-means clustering with 5 clusters of sizes 166, 200, 232, 197, 205
##
## Cluster means:
## age gender.1 study_hours_per_day social_media_hours part_time_job.1
## 1 20.50602 1.548193 1.746988 2.825301 1.222892
## 2 20.45000 1.565000 2.822000 2.615000 1.225000
## 3 20.29741 1.517241 3.876724 2.503879 1.206897
## 4 20.76650 1.609137 3.637563 2.402538 1.218274
## 5 20.50732 1.570732 5.266829 2.240488 1.204878
## attendance_percentage sleep_hours diet_quality.1 exercise_frequency
## 1 82.12048 6.343373 1.789157 2.626506
## 2 88.40800 6.299500 1.750000 2.905000
## 3 90.82371 6.501293 1.741379 3.068966
## 4 72.61472 6.473096 1.771574 2.949239
## 5 85.08244 6.700976 1.697561 3.570732
## parental_education_level.1 internet_quality.1 mental_health_rating
## 1 1.969880 1.740964 4.138554
## 2 2.105000 1.790000 4.645000
## 3 1.982759 1.857759 5.913793
## 4 1.944162 1.776650 5.502538
## 5 1.990244 1.673171 6.663415
## extracurricular_participation.1 exam_score
## 1 1.331325 43.77892
## 2 1.335000 59.95200
## 3 1.280172 75.85172
## 4 1.309645 69.65025
## 5 1.341463 92.80537
##
## Clustering vector:
## [1] 2 5 1 1 2 5 5 4 3 5 4 4 3 3 3 3 2 3 1 1 2 3 5 1 2 4 3 3 5 3 4 2 1 3 2 3 4
## [38] 4 4 4 3 2 2 4 4 3 3 2 2 5 2 2 1 3 4 5 2 3 1 5 2 3 5 4 4 4 4 2 3 5 2 2 4 5
## [75] 3 5 5 2 3 5 4 2 2 2 1 1 3 1 3 1 4 2 1 3 4 2 5 3 2 2 5 4 2 1 3 1 3 4 2 3 4
## [112] 3 1 1 3 3 5 3 4 4 5 2 5 3 2 1 1 5 1 1 3 5 3 3 4 3 2 4 2 3 2 5 2 2 4 1 3 4
## [149] 3 3 2 3 5 4 4 2 4 2 2 3 2 4 5 3 2 1 2 3 1 2 5 5 4 5 4 2 3 4 2 2 3 4 4 3 5
## [186] 1 2 3 1 2 2 1 3 3 2 1 2 5 1 2 3 5 5 2 4 2 5 2 3 1 2 5 1 1 5 4 2 5 1 5 3 2
## [223] 5 1 3 4 5 5 3 2 5 3 5 4 2 4 1 1 3 2 1 4 5 5 5 1 1 5 2 4 5 2 5 5 4 5 2 4 5
## [260] 4 3 2 1 2 1 1 5 2 3 3 2 4 4 1 2 4 2 3 5 5 3 5 3 1 5 2 1 5 5 4 3 5 3 5 5 1
## [297] 5 2 5 5 4 1 3 2 1 5 5 3 2 3 5 4 3 3 1 5 4 4 4 4 5 4 5 3 3 4 1 1 2 5 2 5 4
## [334] 3 5 5 5 5 4 3 4 1 1 5 5 3 3 3 3 5 1 3 1 2 2 3 5 4 2 5 3 3 3 2 1 3 5 5 3 3
## [371] 2 1 4 4 2 2 4 2 4 1 4 5 5 3 2 4 1 3 3 3 4 3 1 1 5 3 5 3 4 2 2 1 1 3 5 2 4
## [408] 4 1 2 3 4 4 2 3 3 1 5 2 2 4 5 1 2 3 3 3 4 1 4 1 1 4 5 1 4 4 5 2 2 3 4 2 4
## [445] 4 4 2 5 5 3 2 4 5 4 1 5 2 2 4 3 3 2 4 1 5 5 2 5 4 5 4 1 2 3 1 1 1 3 5 1 2
## [482] 4 4 4 2 4 3 5 5 5 2 2 4 4 4 1 3 3 3 5 5 3 1 2 4 4 1 2 3 2 1 2 2 4 5 3 3 5
## [519] 3 3 4 2 1 2 1 3 1 5 4 2 3 1 5 2 3 5 1 2 2 3 3 2 4 3 3 2 2 5 4 2 5 2 1 5 1
## [556] 3 3 3 2 4 3 4 5 3 2 3 2 5 5 5 4 4 2 2 5 1 2 1 3 5 3 3 4 4 1 4 3 4 4 4 1 2
## [593] 2 1 5 5 2 5 5 3 5 3 4 1 3 3 5 2 2 4 3 5 4 3 1 1 3 3 2 1 1 3 1 5 4 1 4 3 3
## [630] 3 2 3 3 5 3 1 2 4 5 4 5 3 1 1 1 1 3 3 2 5 2 4 5 3 4 2 1 2 3 4 3 2 3 3 2 3
## [667] 1 5 3 3 5 4 3 5 2 3 1 3 1 4 3 1 2 3 2 4 4 3 5 3 3 5 1 5 5 3 5 2 4 3 3 5 5
## [704] 1 3 1 4 5 2 4 2 3 5 3 3 5 2 2 1 4 5 5 2 1 3 4 3 4 2 4 2 2 4 3 3 1 4 3 4 3
## [741] 3 2 3 4 1 3 1 1 1 4 5 5 4 2 2 4 2 1 3 2 1 4 1 2 5 1 1 4 3 5 2 5 4 2 5 1 2
## [778] 5 5 5 5 2 2 4 5 3 5 4 5 4 1 5 1 1 3 5 1 5 5 2 5 2 5 3 2 4 1 4 1 5 3 2 3 4
## [815] 3 1 3 5 1 4 2 1 1 3 5 5 5 5 2 3 3 3 5 4 3 5 2 4 2 4 3 2 3 2 1 4 3 3 3 5 1
## [852] 3 4 3 4 4 3 1 5 1 2 5 5 1 2 2 5 5 3 3 4 4 3 5 5 5 3 1 4 1 1 1 4 3 1 5 4 3
## [889] 4 4 5 2 1 3 1 2 4 3 3 2 4 3 4 4 3 1 1 4 5 4 5 5 5 1 3 2 3 4 4 4 4 5 1 1 2
## [926] 2 2 1 4 5 5 4 4 1 5 2 2 1 1 4 4 2 1 3 4 5 2 4 4 3 1 5 4 2 2 5 4 1 1 1 5 3
## [963] 2 2 5 4 2 3 4 5 5 4 5 4 3 2 3 5 1 1 3 4 5 4 3 3 2 2 4 1 2 5 3 3 1 4 2 4 3
## [1000] 3
##
## Within cluster sum of squares by cluster:
## [1] 22869.75 16671.60 19062.79 21243.43 26545.90
## (between_SS / total_SS = 73.3 %)
##
## Available components:
##
## [1] "cluster" "centers" "totss" "withinss" "tot.withinss"
## [6] "betweenss" "size" "iter" "ifault"
siswa2$cluster <- segmentasi$cluster
str(siswa2)
## 'data.frame': 1000 obs. of 23 variables:
## $ student_id : chr "S1000" "S1001" "S1002" "S1003" ...
## $ age : int 23 20 21 23 19 24 21 21 23 18 ...
## $ gender : chr "Female" "Female" "Male" "Female" ...
## $ study_hours_per_day : num 0 6.9 1.4 1 5 7.2 5.6 4.3 4.4 4.8 ...
## $ social_media_hours : num 1.2 2.8 3.1 3.9 4.4 1.3 1.5 1 2.2 3.1 ...
## $ netflix_hours : num 1.1 2.3 1.3 1 0.5 0 1.4 2 1.7 1.3 ...
## $ part_time_job : chr "No" "No" "No" "No" ...
## $ attendance_percentage : num 85 97.3 94.8 71 90.9 82.9 85.8 77.7 100 95.4 ...
## $ sleep_hours : num 8 4.6 8 9.2 4.9 7.4 6.5 4.6 7.1 7.5 ...
## $ diet_quality : chr "Fair" "Good" "Poor" "Poor" ...
## $ exercise_frequency : int 6 6 1 4 3 1 2 0 3 5 ...
## $ parental_education_level : chr "Master" "High School" "High School" "Master" ...
## $ internet_quality : chr "Average" "Average" "Poor" "Good" ...
## $ mental_health_rating : int 8 8 1 1 1 4 4 8 1 10 ...
## $ extracurricular_participation : chr "Yes" "No" "No" "Yes" ...
## $ exam_score : num 56.2 100 34.3 26.8 66.4 100 89.8 72.6 78.9 100 ...
## $ gender.1 : int 1 1 2 1 1 2 1 1 1 1 ...
## $ part_time_job.1 : int 1 1 1 1 1 1 2 2 1 1 ...
## $ diet_quality.1 : int 1 2 3 3 1 1 2 1 2 2 ...
## $ parental_education_level.1 : int 3 2 2 3 3 3 3 1 1 1 ...
## $ internet_quality.1 : int 1 1 3 2 2 1 3 1 2 2 ...
## $ extracurricular_participation.1: int 2 1 1 2 1 1 1 1 1 2 ...
## $ cluster : int 2 5 1 1 2 5 5 4 3 5 ...
which(siswa2$cluster == 1)
## [1] 3 4 19 20 24 33 53 59 85 86 88 90 93 104 106 113 114 126
## [19] 127 129 130 146 166 169 186 189 192 196 199 210 213 214 219 224 237 238
## [37] 241 246 247 263 265 266 274 284 287 296 302 305 315 327 328 342 343 351
## [55] 353 365 372 380 387 393 394 402 403 409 417 423 429 431 432 435 455 464
## [73] 472 475 476 477 480 496 503 507 511 523 525 527 532 537 553 555 576 578
## [91] 585 591 594 604 615 616 620 621 623 626 636 643 644 645 646 657 667 677
## [109] 679 682 693 704 706 719 724 736 745 747 748 749 758 761 763 766 767 776
## [127] 791 793 794 797 807 809 816 819 822 823 845 851 858 860 864 878 880 881
## [145] 882 885 893 895 906 907 914 923 924 928 934 938 939 943 951 958 959 960
## [163] 979 980 990 995
siswa[which(siswa2$cluster == 1),]
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 3 S1002 21 Male 1.4 3.1 1.3
## 4 S1003 23 Female 1.0 3.9 1.0
## 19 S1018 24 Other 2.0 4.9 2.9
## 20 S1019 19 Male 1.8 2.5 2.4
## 24 S1023 24 Female 1.1 4.1 1.4
## 33 S1032 20 Other 2.6 4.9 4.3
## 53 S1052 19 Female 2.4 3.6 3.6
## 59 S1058 19 Female 2.2 5.0 1.0
## 85 S1084 23 Female 2.5 4.4 1.6
## 86 S1085 19 Male 1.7 2.6 2.6
## 88 S1087 17 Male 2.3 0.9 1.0
## 90 S1089 18 Male 1.2 3.6 0.0
## 93 S1092 18 Male 0.5 0.8 2.5
## 104 S1103 20 Male 2.1 1.2 3.1
## 106 S1105 18 Male 1.4 3.9 3.9
## 113 S1112 24 Female 1.9 1.7 2.8
## 114 S1113 22 Male 3.0 2.5 2.6
## 126 S1125 24 Male 1.5 3.1 3.5
## 127 S1126 18 Male 0.7 3.4 1.4
## 129 S1128 20 Male 1.8 1.8 1.1
## 130 S1129 20 Male 0.3 4.2 1.5
## 146 S1145 23 Female 2.2 6.2 3.0
## 166 S1165 17 Male 0.5 3.3 2.3
## 169 S1168 23 Male 1.7 3.3 0.6
## 186 S1185 21 Female 1.3 3.8 3.6
## 189 S1188 23 Female 1.4 3.3 2.5
## 192 S1191 19 Male 0.8 3.2 1.4
## 196 S1195 18 Female 0.0 2.8 1.6
## 199 S1198 21 Male 1.3 0.4 2.3
## 210 S1209 21 Female 2.2 4.0 1.9
## 213 S1212 21 Male 1.4 2.7 3.4
## 214 S1213 23 Male 1.1 3.1 3.8
## 219 S1218 24 Male 2.6 2.0 2.4
## 224 S1223 20 Female 2.6 2.4 2.9
## 237 S1236 22 Male 1.5 1.4 2.4
## 238 S1237 22 Female 2.0 1.3 3.4
## 241 S1240 18 Male 1.9 1.6 2.3
## 246 S1245 22 Female 2.4 4.1 0.0
## 247 S1246 17 Male 1.4 0.9 2.6
## 263 S1262 21 Male 3.0 2.2 2.3
## 265 S1264 19 Male 1.9 0.7 0.0
## 266 S1265 18 Female 0.6 3.1 3.0
## 274 S1273 24 Male 2.6 2.3 1.7
## 284 S1283 23 Male 1.6 3.3 3.5
## 287 S1286 17 Female 2.7 2.9 1.7
## 296 S1295 20 Female 0.9 4.3 4.1
## 302 S1301 17 Male 1.7 3.4 3.9
## 305 S1304 18 Male 2.6 3.5 2.0
## 315 S1314 19 Female 2.3 2.9 1.0
## 327 S1326 19 Male 1.4 2.0 3.5
## 328 S1327 23 Male 0.9 2.4 2.5
## 342 S1341 20 Female 2.7 3.7 1.1
## 343 S1342 19 Male 2.3 2.1 1.8
## 351 S1350 20 Male 1.8 3.1 3.1
## 353 S1352 17 Male 2.4 3.2 3.7
## 365 S1364 23 Male 2.9 3.6 1.2
## 372 S1371 24 Male 0.8 1.4 3.8
## 380 S1379 17 Male 0.0 2.6 1.6
## 387 S1386 19 Female 2.0 0.8 2.6
## 393 S1392 24 Female 2.2 4.7 2.2
## 394 S1393 24 Male 2.3 3.0 4.6
## 402 S1401 20 Male 2.4 2.6 1.0
## 403 S1402 19 Male 0.0 1.4 0.0
## 409 S1408 20 Male 1.2 3.5 2.0
## 417 S1416 21 Male 1.1 4.3 0.9
## 423 S1422 22 Female 2.0 2.4 3.9
## 429 S1428 17 Female 2.3 1.5 3.2
## 431 S1430 17 Male 1.9 4.0 3.0
## 432 S1431 22 Female 0.0 2.0 2.5
## 435 S1434 20 Male 0.0 3.5 3.2
## 455 S1454 21 Male 3.2 3.2 2.6
## 464 S1463 17 Male 2.5 4.2 1.9
## 472 S1471 24 Female 2.2 3.1 1.1
## 475 S1474 19 Male 3.0 4.5 2.3
## 476 S1475 24 Male 2.9 3.8 2.1
## 477 S1476 17 Female 2.1 2.7 1.4
## 480 S1479 20 Female 1.9 3.0 2.3
## 496 S1495 23 Male 3.1 3.5 2.2
## 503 S1502 21 Female 0.3 3.2 2.2
## 507 S1506 24 Female 2.0 3.5 2.6
## 511 S1510 17 Male 3.1 1.7 2.9
## 523 S1522 22 Female 2.1 2.1 2.0
## 525 S1524 18 Female 1.7 2.9 2.5
## 527 S1526 19 Female 2.8 3.1 4.5
## 532 S1531 24 Female 2.8 2.2 2.7
## 537 S1536 24 Male 2.0 3.8 1.2
## 553 S1552 21 Female 0.2 3.1 2.1
## 555 S1554 17 Other 2.7 2.9 2.9
## 576 S1575 22 Male 1.1 1.9 1.7
## 578 S1577 22 Female 1.9 2.9 1.6
## 585 S1584 22 Female 2.1 0.0 0.7
## 591 S1590 17 Female 0.0 4.6 1.2
## 594 S1593 20 Female 0.8 2.3 1.3
## 604 S1603 22 Female 1.1 1.7 2.7
## 615 S1614 22 Female 2.4 1.9 0.0
## 616 S1615 19 Female 1.5 2.2 2.3
## 620 S1619 19 Male 2.5 3.1 1.7
## 621 S1620 20 Female 1.4 3.5 1.6
## 623 S1622 23 Female 1.2 1.1 0.7
## 626 S1625 18 Female 1.3 2.1 1.2
## 636 S1635 18 Male 2.4 1.5 1.4
## 643 S1642 24 Female 2.4 2.9 0.5
## 644 S1643 17 Female 1.2 1.3 2.0
## 645 S1644 24 Male 0.8 2.4 0.8
## 646 S1645 21 Female 1.1 0.4 2.4
## 657 S1656 23 Male 0.3 3.1 1.4
## 667 S1666 22 Female 1.9 4.0 0.5
## 677 S1676 20 Female 1.8 4.8 3.2
## 679 S1678 18 Female 3.5 5.2 0.7
## 682 S1681 21 Male 0.7 0.7 1.0
## 693 S1692 21 Male 1.7 1.2 3.2
## 704 S1703 24 Male 0.9 3.3 1.6
## 706 S1705 21 Female 1.0 2.1 1.0
## 719 S1718 24 Female 1.0 2.9 0.1
## 724 S1723 17 Female 2.6 3.0 0.8
## 736 S1735 19 Male 2.9 7.2 2.9
## 745 S1744 19 Female 3.3 0.7 3.6
## 747 S1746 19 Male 1.1 2.0 3.3
## 748 S1747 23 Male 1.8 1.1 0.3
## 749 S1748 17 Female 1.7 2.0 2.4
## 758 S1757 19 Female 2.6 3.3 2.4
## 761 S1760 20 Male 0.5 1.6 3.8
## 763 S1762 21 Male 1.9 2.3 1.4
## 766 S1765 19 Male 2.1 2.8 1.4
## 767 S1766 21 Male 0.0 2.4 2.9
## 776 S1775 21 Male 1.2 4.3 2.2
## 791 S1790 22 Male 0.8 3.9 2.4
## 793 S1792 21 Female 2.1 3.1 4.2
## 794 S1793 20 Female 2.5 4.3 2.4
## 797 S1796 21 Male 0.3 3.6 1.7
## 807 S1806 24 Female 3.2 2.9 2.1
## 809 S1808 22 Male 3.2 0.3 4.0
## 816 S1815 21 Female 2.9 2.6 2.0
## 819 S1818 20 Male 2.3 3.2 2.4
## 822 S1821 20 Male 1.4 4.0 3.6
## 823 S1822 22 Female 2.6 3.4 5.3
## 845 S1844 21 Female 0.7 3.2 0.3
## 851 S1850 23 Female 1.1 2.4 1.8
## 858 S1857 19 Male 0.5 0.0 2.6
## 860 S1859 23 Female 1.6 3.2 1.7
## 864 S1863 18 Female 1.5 3.9 2.7
## 878 S1877 18 Female 2.7 2.7 1.6
## 880 S1879 21 Female 0.8 2.3 1.0
## 881 S1880 21 Male 2.5 3.2 2.0
## 882 S1881 22 Male 2.9 2.7 2.6
## 885 S1884 24 Female 2.3 3.4 2.8
## 893 S1892 17 Male 2.5 2.2 2.3
## 895 S1894 20 Male 1.5 4.6 0.7
## 906 S1905 18 Male 2.6 2.9 1.1
## 907 S1906 18 Female 0.0 4.6 2.0
## 914 S1913 18 Male 3.8 4.5 1.6
## 923 S1922 17 Male 1.3 0.1 3.6
## 924 S1923 23 Male 0.1 1.2 0.0
## 928 S1927 20 Female 3.3 4.0 1.9
## 934 S1933 17 Female 1.8 3.0 2.0
## 938 S1937 21 Female 1.9 3.2 1.2
## 939 S1938 22 Male 1.2 2.3 1.7
## 943 S1942 24 Female 2.2 4.5 3.3
## 951 S1950 19 Female 2.7 1.1 3.1
## 958 S1957 17 Female 2.0 1.6 0.0
## 959 S1958 18 Male 0.0 3.8 1.3
## 960 S1959 23 Female 3.2 4.5 0.7
## 979 S1978 24 Female 1.6 3.1 2.8
## 980 S1979 22 Male 1.3 2.2 1.8
## 990 S1989 24 Male 1.0 1.4 2.1
## 995 S1994 20 Female 1.6 1.3 2.9
## part_time_job attendance_percentage sleep_hours diet_quality
## 3 No 94.8 8.0 Poor
## 4 No 71.0 9.2 Poor
## 19 Yes 88.3 7.1 Good
## 20 No 71.1 7.5 Fair
## 24 Yes 90.0 9.0 Fair
## 33 No 82.1 6.9 Good
## 53 No 86.9 7.0 Fair
## 59 No 78.4 7.5 Poor
## 85 No 84.4 6.8 Fair
## 86 No 77.6 7.0 Good
## 88 No 69.0 6.2 Fair
## 90 No 72.7 6.6 Poor
## 93 Yes 97.9 4.1 Poor
## 104 No 88.8 7.5 Good
## 106 Yes 68.1 8.0 Good
## 113 No 96.2 4.9 Fair
## 114 No 83.1 5.5 Fair
## 126 No 95.5 7.4 Fair
## 127 Yes 81.6 6.1 Poor
## 129 No 92.4 6.7 Good
## 130 No 83.0 6.2 Good
## 146 No 86.4 6.9 Good
## 166 No 90.0 6.8 Fair
## 169 No 89.0 5.4 Fair
## 186 Yes 80.6 6.7 Fair
## 189 No 91.9 8.3 Fair
## 192 No 84.9 8.3 Good
## 196 No 93.4 5.8 Fair
## 199 Yes 69.2 5.5 Good
## 210 No 86.2 6.2 Poor
## 213 No 92.5 4.7 Poor
## 214 No 88.3 6.8 Good
## 219 No 76.3 7.4 Fair
## 224 No 73.7 4.6 Fair
## 237 No 80.9 6.0 Good
## 238 Yes 75.0 4.9 Fair
## 241 No 72.0 6.3 Fair
## 246 No 80.5 6.1 Fair
## 247 Yes 83.0 4.4 Poor
## 263 No 76.5 6.1 Poor
## 265 No 81.7 5.8 Good
## 266 No 79.9 5.2 Good
## 274 No 85.6 5.7 Fair
## 284 Yes 73.0 8.1 Good
## 287 No 82.8 6.4 Fair
## 296 No 90.1 6.1 Good
## 302 Yes 97.0 6.6 Good
## 305 No 84.0 6.2 Good
## 315 No 75.3 5.8 Good
## 327 No 87.7 6.3 Fair
## 328 No 89.2 6.9 Fair
## 342 No 72.4 6.3 Fair
## 343 No 77.2 5.0 Fair
## 351 No 72.8 5.3 Good
## 353 No 78.9 8.2 Good
## 365 No 82.9 6.2 Fair
## 372 Yes 76.5 7.5 Good
## 380 No 82.4 7.4 Good
## 387 No 95.8 6.0 Good
## 393 No 89.8 8.2 Good
## 394 No 67.5 6.6 Fair
## 402 No 77.0 6.0 Good
## 403 No 81.5 6.7 Good
## 409 No 81.7 6.5 Poor
## 417 No 86.7 4.9 Fair
## 423 No 66.9 4.1 Fair
## 429 No 83.1 8.2 Good
## 431 No 98.6 6.2 Poor
## 432 No 82.0 3.7 Poor
## 435 No 72.6 6.2 Fair
## 455 Yes 78.0 4.2 Fair
## 464 Yes 88.1 4.8 Fair
## 472 No 96.5 6.9 Fair
## 475 Yes 79.7 7.0 Fair
## 476 No 79.8 6.4 Good
## 477 No 77.4 4.3 Good
## 480 No 91.4 5.7 Good
## 496 No 78.8 3.4 Fair
## 503 No 88.4 7.1 Poor
## 507 No 76.5 4.8 Good
## 511 Yes 71.5 5.6 Good
## 523 No 74.6 5.7 Fair
## 525 No 84.6 6.0 Good
## 527 No 95.9 6.3 Fair
## 532 No 87.5 5.9 Good
## 537 No 81.3 6.7 Good
## 553 Yes 77.9 7.0 Good
## 555 No 80.9 6.6 Fair
## 576 No 92.3 7.6 Fair
## 578 Yes 87.6 6.1 Fair
## 585 No 77.5 6.1 Good
## 591 No 96.2 6.1 Poor
## 594 Yes 83.9 5.5 Poor
## 604 No 94.5 5.3 Fair
## 615 No 75.3 6.5 Good
## 616 No 89.1 7.9 Fair
## 620 No 70.5 4.8 Good
## 621 No 85.8 6.4 Fair
## 623 No 84.7 7.3 Fair
## 626 No 84.7 8.1 Poor
## 636 No 79.7 4.9 Poor
## 643 No 71.5 6.8 Fair
## 644 No 85.2 4.3 Fair
## 645 No 100.0 6.2 Fair
## 646 Yes 95.2 6.8 Good
## 657 Yes 77.5 8.3 Good
## 667 Yes 82.9 7.6 Good
## 677 No 95.4 5.0 Good
## 679 Yes 79.9 7.4 Good
## 682 No 81.7 9.3 Poor
## 693 No 76.9 5.8 Good
## 704 Yes 87.3 6.5 Poor
## 706 No 79.4 8.7 Fair
## 719 No 76.2 5.8 Poor
## 724 No 78.3 6.9 Good
## 736 Yes 85.5 5.7 Fair
## 745 No 75.5 6.1 Poor
## 747 No 74.9 7.4 Good
## 748 No 85.5 6.4 Good
## 749 No 79.4 6.5 Good
## 758 No 74.5 7.1 Fair
## 761 Yes 81.0 7.7 Good
## 763 No 84.0 5.1 Fair
## 766 Yes 82.8 6.3 Poor
## 767 No 85.6 3.8 Poor
## 776 No 74.6 8.2 Fair
## 791 No 62.9 5.5 Fair
## 793 No 86.4 5.2 Fair
## 794 No 84.5 8.6 Fair
## 797 No 95.2 6.7 Poor
## 807 No 85.2 4.6 Good
## 809 Yes 67.3 5.3 Good
## 816 No 72.7 5.6 Poor
## 819 No 83.0 4.2 Fair
## 822 No 81.7 7.1 Good
## 823 No 79.8 9.0 Poor
## 845 Yes 72.7 7.9 Fair
## 851 No 83.9 7.7 Good
## 858 Yes 86.4 5.8 Poor
## 860 No 83.9 8.2 Good
## 864 No 78.5 8.0 Good
## 878 No 76.6 4.0 Good
## 880 No 91.8 6.7 Fair
## 881 No 76.9 4.1 Fair
## 882 Yes 86.8 4.7 Fair
## 885 No 85.3 8.9 Good
## 893 No 86.6 6.3 Fair
## 895 Yes 82.6 7.0 Good
## 906 Yes 73.0 5.8 Good
## 907 Yes 70.1 8.7 Fair
## 914 Yes 79.3 5.3 Good
## 923 No 82.0 5.8 Poor
## 924 No 78.7 7.6 Poor
## 928 No 67.1 6.8 Good
## 934 No 81.1 4.9 Good
## 938 No 75.9 6.0 Good
## 939 No 97.7 4.9 Fair
## 943 No 76.8 6.1 Poor
## 951 No 77.6 4.7 Fair
## 958 No 69.8 7.0 Good
## 959 Yes 89.5 5.7 Good
## 960 No 95.1 5.9 Fair
## 979 No 82.7 7.8 Fair
## 980 No 76.1 5.0 Good
## 990 Yes 76.4 4.9 Fair
## 995 No 75.3 5.6 Good
## exercise_frequency parental_education_level internet_quality
## 3 1 High School Poor
## 4 4 Master Good
## 19 2 High School Good
## 20 1 High School Average
## 24 6 Bachelor Good
## 33 3 Bachelor Good
## 53 6 High School Average
## 59 5 Master Average
## 85 5 Bachelor Average
## 86 4 Bachelor Good
## 88 1 Master Average
## 90 4 High School Average
## 93 4 High School Good
## 104 4 Master Average
## 106 4 High School Average
## 113 1 Bachelor Poor
## 114 0 Bachelor Average
## 126 0 High School Average
## 127 1 High School Poor
## 129 0 High School Good
## 130 1 High School Average
## 146 1 None Good
## 166 4 High School Good
## 169 5 Bachelor Good
## 186 5 Bachelor Good
## 189 3 High School Poor
## 192 1 Master Average
## 196 0 Bachelor Good
## 199 1 High School Good
## 210 0 High School Average
## 213 1 Bachelor Average
## 214 6 Bachelor Poor
## 219 1 Bachelor Good
## 224 4 Master Average
## 237 3 High School Good
## 238 1 High School Average
## 241 6 Master Poor
## 246 1 Bachelor Average
## 247 3 Bachelor Good
## 263 2 Master Average
## 265 1 Master Poor
## 266 1 Bachelor Good
## 274 1 Bachelor Good
## 284 6 High School Good
## 287 4 Master Average
## 296 6 High School Average
## 302 3 High School Average
## 305 0 Bachelor Average
## 315 2 Bachelor Good
## 327 1 Bachelor Good
## 328 0 High School Poor
## 342 0 High School Average
## 343 5 High School Average
## 351 3 High School Average
## 353 5 Bachelor Good
## 365 1 High School Average
## 372 2 Bachelor Average
## 380 5 High School Average
## 387 0 High School Poor
## 393 0 High School Poor
## 394 3 Bachelor Average
## 402 2 None Good
## 403 5 High School Good
## 409 4 Bachelor Good
## 417 3 High School Average
## 423 3 High School Good
## 429 1 High School Average
## 431 0 Bachelor Average
## 432 4 Bachelor Average
## 435 3 High School Good
## 455 5 Bachelor Poor
## 464 1 Master Good
## 472 0 Bachelor Poor
## 475 6 Bachelor Good
## 476 6 Bachelor Good
## 477 5 Master Good
## 480 5 Bachelor Good
## 496 0 Master Good
## 503 3 None Average
## 507 6 Master Good
## 511 0 Bachelor Average
## 523 0 High School Good
## 525 0 Bachelor Average
## 527 2 None Good
## 532 0 None Good
## 537 1 Bachelor Good
## 553 5 Master Good
## 555 0 None Poor
## 576 4 Master Good
## 578 4 Bachelor Good
## 585 0 Bachelor Average
## 591 6 Bachelor Average
## 594 3 Bachelor Good
## 604 3 None Average
## 615 6 High School Good
## 616 0 Bachelor Average
## 620 1 High School Good
## 621 2 None Average
## 623 0 Bachelor Average
## 626 5 High School Good
## 636 1 Master Poor
## 643 5 High School Good
## 644 6 High School Good
## 645 3 Bachelor Average
## 646 2 None Average
## 657 3 Bachelor Good
## 667 2 None Average
## 677 4 Bachelor Good
## 679 0 Master Good
## 682 6 None Average
## 693 4 High School Average
## 704 6 Bachelor Good
## 706 1 Bachelor Average
## 719 4 Bachelor Good
## 724 4 Bachelor Average
## 736 1 High School Good
## 745 3 High School Good
## 747 3 Bachelor Good
## 748 2 High School Average
## 749 5 High School Average
## 758 0 Master Good
## 761 4 None Average
## 763 4 High School Poor
## 766 1 Master Average
## 767 3 None Average
## 776 2 Bachelor Average
## 791 0 Master Good
## 793 1 Bachelor Poor
## 794 3 Master Good
## 797 3 Bachelor Average
## 807 1 Bachelor Good
## 809 3 High School Good
## 816 1 Master Good
## 819 6 Bachelor Poor
## 822 3 Master Poor
## 823 0 Bachelor Good
## 845 2 High School Good
## 851 5 High School Average
## 858 5 Master Poor
## 860 1 High School Good
## 864 0 High School Poor
## 878 0 High School Average
## 880 2 High School Poor
## 881 1 Bachelor Good
## 882 3 Master Average
## 885 0 Master Good
## 893 0 High School Good
## 895 1 Bachelor Good
## 906 5 Bachelor Poor
## 907 3 Bachelor Average
## 914 3 High School Good
## 923 5 Master Average
## 924 5 High School Good
## 928 0 Bachelor Good
## 934 1 High School Average
## 938 6 Bachelor Good
## 939 1 High School Poor
## 943 3 High School Good
## 951 5 High School Average
## 958 5 High School Average
## 959 5 High School Average
## 960 2 Master Good
## 979 0 Bachelor Good
## 980 6 High School Poor
## 990 3 High School Average
## 995 0 High School Average
## mental_health_rating extracurricular_participation exam_score
## 3 1 No 34.3
## 4 1 Yes 26.8
## 19 5 No 43.9
## 20 2 No 45.3
## 24 1 No 43.7
## 33 7 No 52.1
## 53 1 No 48.4
## 59 2 Yes 46.4
## 85 4 No 51.3
## 86 6 No 53.5
## 88 2 Yes 47.2
## 90 4 Yes 41.1
## 93 3 No 43.9
## 104 3 No 50.4
## 106 4 Yes 32.8
## 113 6 Yes 43.9
## 114 4 No 51.3
## 126 3 No 44.0
## 127 8 No 42.4
## 129 2 No 48.7
## 130 3 Yes 26.8
## 146 4 No 46.7
## 166 5 No 39.0
## 169 4 Yes 50.1
## 186 5 No 40.4
## 189 4 Yes 46.5
## 192 6 No 45.1
## 196 5 No 26.7
## 199 8 Yes 42.2
## 210 5 Yes 47.1
## 213 2 Yes 29.7
## 214 6 No 45.5
## 219 3 No 48.5
## 224 1 No 41.9
## 237 5 No 46.2
## 238 9 No 53.8
## 241 3 No 51.2
## 246 3 Yes 47.9
## 247 8 No 51.0
## 263 3 No 49.1
## 265 4 No 51.5
## 266 4 No 18.4
## 274 1 Yes 45.5
## 284 1 No 47.1
## 287 1 No 46.6
## 296 4 No 27.6
## 302 6 No 41.7
## 305 1 No 39.6
## 315 5 Yes 48.9
## 327 8 No 41.7
## 328 1 No 23.1
## 342 3 No 44.3
## 343 3 No 54.7
## 351 8 No 54.0
## 353 4 Yes 47.0
## 365 2 No 45.9
## 372 10 No 36.0
## 380 3 No 32.9
## 387 4 No 45.2
## 393 3 No 45.2
## 394 9 No 51.8
## 402 3 Yes 48.3
## 403 8 Yes 50.1
## 409 1 No 34.3
## 417 9 No 49.9
## 423 2 Yes 29.5
## 429 3 No 52.4
## 431 7 Yes 35.7
## 432 2 No 29.9
## 435 2 No 26.2
## 455 1 No 46.7
## 464 1 No 44.5
## 472 4 No 33.8
## 475 5 No 52.6
## 476 5 Yes 52.1
## 477 4 Yes 39.9
## 480 4 No 43.3
## 496 7 No 49.9
## 503 4 Yes 34.0
## 507 5 No 53.2
## 511 3 Yes 51.1
## 523 6 Yes 44.1
## 525 7 Yes 39.9
## 527 3 No 40.7
## 532 1 Yes 47.4
## 537 7 Yes 40.4
## 553 4 Yes 31.5
## 555 6 No 53.4
## 576 3 Yes 48.3
## 578 1 Yes 44.4
## 585 5 No 52.5
## 591 7 No 42.0
## 594 6 No 34.7
## 604 3 No 35.8
## 615 1 No 53.9
## 616 1 No 43.7
## 620 4 No 45.1
## 621 1 No 39.8
## 623 2 Yes 35.6
## 626 2 Yes 46.6
## 636 3 No 45.8
## 643 2 Yes 50.4
## 644 4 No 49.4
## 645 2 Yes 35.3
## 646 1 Yes 46.3
## 657 5 No 36.1
## 667 9 Yes 50.4
## 677 5 No 37.4
## 679 2 Yes 53.4
## 682 3 No 51.5
## 693 5 Yes 37.4
## 704 5 No 37.9
## 706 8 Yes 52.6
## 719 6 No 49.9
## 724 2 No 53.2
## 736 6 No 50.1
## 745 3 Yes 52.6
## 747 7 No 42.6
## 748 6 No 49.8
## 749 8 No 45.7
## 758 3 Yes 44.5
## 761 3 Yes 30.2
## 763 4 No 51.8
## 766 3 No 44.1
## 767 8 No 30.5
## 776 4 No 36.2
## 791 5 No 31.5
## 793 9 Yes 50.1
## 794 3 No 49.4
## 797 4 Yes 33.6
## 807 2 Yes 40.3
## 809 1 No 43.9
## 816 1 No 43.5
## 819 1 Yes 48.5
## 822 4 No 35.4
## 823 2 No 49.1
## 845 7 Yes 47.2
## 851 4 Yes 49.2
## 858 8 Yes 45.0
## 860 1 No 36.8
## 864 8 Yes 42.3
## 878 3 No 36.9
## 880 6 No 44.3
## 881 6 No 41.6
## 882 1 No 45.5
## 885 3 No 40.9
## 893 2 No 46.8
## 895 4 Yes 45.4
## 906 1 Yes 53.9
## 907 10 No 43.4
## 914 4 No 53.5
## 923 2 Yes 44.3
## 924 9 No 53.4
## 928 2 No 43.5
## 934 10 No 47.5
## 938 5 No 41.7
## 939 1 No 28.0
## 943 7 No 50.2
## 951 2 No 50.8
## 958 4 No 49.1
## 959 5 No 31.1
## 960 1 No 45.7
## 979 5 Yes 43.5
## 980 10 No 53.4
## 990 6 No 47.6
## 995 5 No 41.7
siswa[which(siswa2$cluster == 2),]
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 1 S1000 23 Female 0.0 1.2 1.1
## 5 S1004 19 Female 5.0 4.4 0.5
## 17 S1016 20 Male 1.0 0.6 0.2
## 21 S1020 22 Female 3.8 2.3 2.9
## 25 S1024 20 Female 2.0 0.0 0.9
## 32 S1031 17 Other 1.5 3.1 2.6
## 35 S1034 22 Female 1.1 2.7 0.1
## 42 S1041 23 Female 2.9 2.3 2.3
## 43 S1042 18 Male 3.7 3.4 2.0
## 48 S1047 23 Female 2.5 2.9 2.7
## 49 S1048 22 Female 1.4 2.1 2.8
## 51 S1050 23 Female 1.6 1.0 3.1
## 52 S1051 22 Female 2.5 3.2 0.5
## 57 S1056 24 Male 2.5 2.0 0.0
## 61 S1060 19 Female 1.7 2.1 0.6
## 68 S1067 17 Male 3.3 1.8 3.2
## 71 S1070 18 Female 2.7 1.7 1.3
## 72 S1071 18 Female 1.4 3.4 0.0
## 78 S1077 20 Female 2.7 1.4 0.4
## 82 S1081 20 Other 3.2 3.2 5.0
## 83 S1082 21 Female 2.6 4.9 0.0
## 84 S1083 24 Male 2.0 0.6 3.0
## 92 S1091 20 Female 4.8 4.3 2.1
## 96 S1095 22 Male 1.7 2.9 2.0
## 99 S1098 22 Male 2.4 0.0 3.1
## 100 S1099 21 Male 3.4 2.7 3.4
## 103 S1102 18 Male 4.3 4.0 0.8
## 109 S1108 22 Female 2.4 1.9 2.1
## 122 S1121 21 Male 3.3 1.7 1.8
## 125 S1124 21 Female 2.3 1.9 0.1
## 137 S1136 17 Female 4.9 3.0 3.6
## 139 S1138 23 Male 3.9 3.3 0.5
## 141 S1140 24 Male 2.5 3.8 2.2
## 143 S1142 20 Male 3.2 2.0 2.0
## 144 S1143 24 Male 2.4 2.8 0.7
## 151 S1150 19 Male 3.5 2.1 0.5
## 156 S1155 18 Male 1.5 3.0 2.3
## 158 S1157 18 Male 3.0 1.8 0.7
## 159 S1158 17 Female 2.6 1.8 3.0
## 161 S1160 23 Male 3.6 3.0 2.0
## 165 S1164 18 Male 3.6 2.5 3.0
## 167 S1166 24 Male 2.1 1.2 1.8
## 170 S1169 22 Male 4.4 3.5 2.7
## 176 S1175 22 Other 3.0 3.2 0.3
## 179 S1178 17 Other 2.9 2.5 2.4
## 180 S1179 19 Female 3.8 1.7 3.8
## 187 S1186 18 Female 0.0 1.9 1.5
## 190 S1189 22 Male 3.2 2.0 1.6
## 191 S1190 23 Male 1.7 3.8 1.2
## 195 S1194 23 Male 2.6 4.0 1.1
## 197 S1196 18 Male 2.7 2.1 1.9
## 200 S1199 19 Female 3.8 3.0 0.7
## 204 S1203 17 Male 2.0 3.8 0.3
## 206 S1205 21 Other 3.3 4.3 3.9
## 208 S1207 20 Female 2.1 0.5 2.0
## 211 S1210 23 Female 3.2 2.3 1.7
## 217 S1216 20 Female 2.5 2.1 1.5
## 222 S1221 19 Male 2.8 1.4 3.1
## 230 S1229 21 Male 2.4 3.7 2.0
## 235 S1234 20 Male 3.0 2.4 4.0
## 240 S1239 24 Male 2.5 2.6 1.4
## 249 S1248 17 Female 3.0 3.5 1.6
## 252 S1251 17 Female 4.3 4.3 1.4
## 257 S1256 23 Female 3.6 3.2 2.7
## 262 S1261 22 Male 5.1 3.9 1.7
## 264 S1263 17 Female 2.2 2.4 2.3
## 268 S1267 24 Female 1.8 2.4 3.3
## 271 S1270 22 Male 4.0 3.2 2.3
## 275 S1274 17 Female 3.2 2.8 4.3
## 277 S1276 17 Male 3.1 2.3 2.4
## 286 S1285 19 Female 2.5 2.8 0.5
## 298 S1297 23 Female 4.1 2.8 1.4
## 304 S1303 22 Female 2.2 1.0 2.9
## 309 S1308 24 Male 1.7 3.3 1.3
## 329 S1328 24 Female 1.2 2.5 0.8
## 331 S1330 17 Male 2.7 2.5 1.4
## 354 S1353 24 Female 0.7 2.2 0.0
## 355 S1354 24 Male 3.4 2.3 2.3
## 359 S1358 17 Female 2.0 2.2 3.2
## 364 S1363 18 Male 2.1 2.1 3.6
## 371 S1370 20 Male 3.7 3.1 3.4
## 375 S1374 17 Male 2.8 2.0 4.1
## 376 S1375 20 Male 1.1 2.1 3.6
## 378 S1377 17 Female 2.7 3.6 0.9
## 385 S1384 21 Female 2.6 5.4 3.3
## 400 S1399 17 Male 3.1 3.6 0.4
## 401 S1400 24 Male 3.5 1.3 2.1
## 406 S1405 20 Female 3.1 2.0 1.9
## 410 S1409 22 Male 2.7 2.2 2.8
## 414 S1413 17 Male 1.5 2.4 2.0
## 419 S1418 24 Female 2.4 2.8 0.9
## 420 S1419 22 Male 2.3 4.6 0.6
## 424 S1423 19 Female 3.6 4.0 0.5
## 439 S1438 23 Male 3.5 3.9 2.2
## 440 S1439 19 Female 2.4 1.9 1.5
## 443 S1442 17 Female 2.5 1.7 4.1
## 447 S1446 19 Male 3.7 1.8 0.9
## 451 S1450 22 Female 3.1 3.3 1.8
## 457 S1456 22 Female 3.9 1.6 0.7
## 458 S1457 24 Male 2.4 2.6 1.5
## 462 S1461 21 Female 1.3 3.4 2.2
## 467 S1466 24 Female 2.8 4.2 0.9
## 473 S1472 19 Female 2.5 2.7 1.5
## 481 S1480 20 Male 3.5 4.7 1.3
## 485 S1484 21 Female 1.9 1.2 0.9
## 491 S1490 24 Female 4.4 1.4 2.2
## 492 S1491 21 Female 4.0 4.3 2.4
## 504 S1503 24 Female 2.6 1.4 2.1
## 508 S1507 19 Female 2.7 1.0 2.4
## 510 S1509 18 Female 4.3 3.3 2.2
## 512 S1511 18 Other 2.9 3.2 2.8
## 513 S1512 23 Female 2.9 2.8 0.5
## 522 S1521 23 Male 3.5 2.1 1.4
## 524 S1523 23 Other 4.0 3.4 3.2
## 530 S1529 18 Female 3.1 3.2 1.6
## 534 S1533 17 Male 1.5 2.3 3.0
## 538 S1537 23 Female 2.5 0.9 2.2
## 539 S1538 21 Male 4.3 3.2 2.8
## 542 S1541 18 Female 4.2 3.8 3.4
## 546 S1545 24 Female 3.1 3.8 2.1
## 547 S1546 21 Male 4.5 2.7 1.2
## 550 S1549 23 Male 2.0 4.4 1.8
## 552 S1551 20 Female 3.3 4.3 0.4
## 559 S1558 24 Male 4.6 1.8 1.6
## 565 S1564 20 Male 2.1 4.9 1.1
## 567 S1566 18 Male 2.7 3.7 2.3
## 573 S1572 17 Male 3.5 3.2 0.0
## 574 S1573 18 Male 3.0 1.4 2.0
## 577 S1576 21 Male 1.9 2.1 1.3
## 592 S1591 24 Female 4.5 4.4 2.2
## 593 S1592 21 Female 2.5 1.9 3.2
## 597 S1596 21 Male 3.3 2.7 1.9
## 608 S1607 24 Female 3.2 3.0 3.2
## 609 S1608 20 Female 3.7 1.9 2.5
## 619 S1618 23 Male 2.9 2.4 0.0
## 631 S1630 17 Female 0.7 3.2 2.4
## 637 S1636 17 Female 3.0 3.2 1.6
## 649 S1648 24 Female 1.1 3.6 2.5
## 651 S1650 23 Female 2.8 2.4 0.7
## 656 S1655 21 Female 2.2 3.5 0.0
## 658 S1657 19 Female 2.4 2.9 1.7
## 662 S1661 19 Male 3.6 3.5 2.1
## 665 S1664 17 Male 3.8 2.4 1.1
## 675 S1674 20 Female 2.6 2.2 0.7
## 683 S1682 23 Female 2.7 4.3 2.9
## 685 S1684 17 Male 3.7 2.8 3.6
## 698 S1697 18 Other 3.1 2.2 2.5
## 709 S1708 24 Male 1.9 3.1 2.0
## 711 S1710 23 Male 1.8 1.7 0.3
## 717 S1716 19 Male 2.7 1.4 2.8
## 718 S1717 20 Female 3.2 1.7 2.1
## 723 S1722 20 Male 1.6 1.8 0.0
## 729 S1728 21 Other 2.8 2.0 2.0
## 731 S1730 19 Female 4.3 2.7 2.6
## 732 S1731 17 Male 3.5 0.0 2.4
## 742 S1741 22 Female 3.0 2.0 1.7
## 754 S1753 18 Male 4.3 3.4 0.9
## 755 S1754 18 Female 0.8 3.3 0.2
## 757 S1756 18 Male 2.3 2.3 1.7
## 760 S1759 23 Female 2.8 4.1 1.7
## 764 S1763 18 Male 3.9 2.4 0.0
## 771 S1770 21 Female 1.7 3.5 2.5
## 774 S1773 20 Male 3.3 3.6 2.6
## 777 S1776 17 Male 3.9 1.8 3.2
## 782 S1781 19 Female 2.9 1.9 3.2
## 783 S1782 24 Female 3.9 3.3 1.1
## 800 S1799 19 Female 3.8 1.2 2.0
## 802 S1801 22 Female 3.9 1.8 3.9
## 805 S1804 22 Female 4.3 4.0 1.1
## 812 S1811 19 Female 0.0 2.4 0.6
## 821 S1820 23 Male 2.0 2.8 3.3
## 829 S1828 23 Female 2.5 1.1 3.9
## 837 S1836 19 Male 3.5 2.8 0.0
## 839 S1838 20 Male 3.3 2.9 3.6
## 842 S1841 24 Male 3.3 1.5 1.8
## 844 S1843 23 Female 3.0 4.8 2.3
## 861 S1860 20 Female 3.6 3.9 4.2
## 865 S1864 20 Female 0.0 0.3 1.1
## 866 S1865 17 Male 3.8 2.0 1.4
## 892 S1891 23 Male 2.2 1.6 2.0
## 896 S1895 20 Female 2.3 1.5 2.0
## 900 S1899 19 Female 3.8 2.0 1.5
## 916 S1915 22 Female 3.0 4.7 1.9
## 925 S1924 17 Other 2.7 2.3 3.2
## 926 S1925 19 Other 1.7 2.9 1.6
## 927 S1926 21 Male 2.7 2.4 2.7
## 936 S1935 17 Male 3.4 4.0 0.7
## 937 S1936 22 Male 4.5 3.8 2.5
## 942 S1941 21 Male 2.1 3.5 0.9
## 947 S1946 21 Female 2.1 0.9 1.5
## 954 S1953 20 Female 2.0 1.0 0.1
## 955 S1954 19 Male 4.6 3.0 3.6
## 963 S1962 22 Male 3.5 3.1 2.9
## 964 S1963 23 Female 3.1 2.1 2.0
## 967 S1966 21 Other 1.7 0.2 0.8
## 976 S1975 18 Female 2.6 3.0 1.4
## 987 S1986 20 Male 1.1 1.7 2.2
## 988 S1987 20 Female 2.3 1.6 1.7
## 991 S1990 18 Male 3.2 3.5 1.7
## 997 S1996 17 Female 2.9 1.0 2.4
## part_time_job attendance_percentage sleep_hours diet_quality
## 1 No 85.0 8.0 Fair
## 5 No 90.9 4.9 Fair
## 17 No 92.9 5.6 Poor
## 21 No 83.0 6.4 Good
## 25 Yes 81.8 5.5 Fair
## 32 Yes 96.2 8.0 Fair
## 35 No 100.0 7.7 Fair
## 42 No 86.2 7.2 Good
## 43 No 88.9 6.8 Fair
## 48 No 83.5 7.0 Good
## 49 No 90.6 8.4 Fair
## 51 No 82.8 5.5 Fair
## 52 No 85.7 6.5 Poor
## 57 No 83.9 5.3 Good
## 61 Yes 92.1 7.9 Fair
## 68 No 81.7 5.8 Poor
## 71 No 95.5 6.1 Poor
## 72 No 89.9 4.6 Fair
## 78 No 82.6 7.8 Fair
## 82 No 100.0 6.7 Good
## 83 Yes 86.6 6.3 Fair
## 84 No 89.0 7.7 Poor
## 92 No 80.6 4.7 Fair
## 96 No 97.5 6.0 Good
## 99 No 92.2 4.8 Good
## 100 No 100.0 6.6 Good
## 103 No 100.0 7.5 Fair
## 109 No 93.3 6.6 Poor
## 122 No 85.2 7.7 Poor
## 125 No 81.9 6.6 Fair
## 137 No 91.1 6.7 Good
## 139 No 87.0 8.5 Fair
## 141 No 85.4 5.0 Good
## 143 No 88.3 4.9 Fair
## 144 No 99.8 8.1 Fair
## 151 Yes 84.8 6.1 Good
## 156 No 77.9 6.6 Fair
## 158 No 100.0 5.5 Poor
## 159 No 83.8 6.6 Fair
## 161 No 93.9 5.1 Fair
## 165 No 95.3 5.8 Poor
## 167 No 87.5 5.1 Fair
## 170 Yes 87.0 7.8 Fair
## 176 No 100.0 5.0 Good
## 179 Yes 83.7 6.3 Poor
## 180 No 90.2 5.3 Good
## 187 No 82.4 5.6 Fair
## 190 No 78.2 5.6 Fair
## 191 No 82.3 7.9 Poor
## 195 No 89.4 6.9 Good
## 197 No 88.9 8.7 Good
## 200 No 85.5 5.1 Fair
## 204 No 78.4 7.6 Fair
## 206 No 90.4 6.4 Fair
## 208 No 80.9 7.3 Poor
## 211 Yes 83.8 6.6 Poor
## 217 No 90.2 5.6 Fair
## 222 No 100.0 5.4 Poor
## 230 No 94.7 5.8 Good
## 235 No 88.1 5.4 Poor
## 240 No 100.0 6.2 Poor
## 249 No 95.4 6.4 Fair
## 252 No 87.1 7.9 Fair
## 257 No 90.6 5.7 Good
## 262 Yes 81.6 5.9 Fair
## 264 Yes 94.3 6.1 Poor
## 268 Yes 92.7 8.7 Fair
## 271 Yes 96.6 6.0 Good
## 275 No 86.1 7.7 Fair
## 277 Yes 83.2 5.9 Fair
## 286 Yes 85.1 6.5 Poor
## 298 No 82.4 3.5 Good
## 304 No 93.4 6.9 Good
## 309 No 94.7 5.8 Fair
## 329 Yes 96.9 5.8 Good
## 331 No 95.9 6.6 Good
## 354 No 94.1 6.1 Fair
## 355 No 100.0 6.2 Good
## 359 No 98.2 5.1 Good
## 364 No 87.8 5.8 Fair
## 371 Yes 83.7 5.5 Fair
## 375 Yes 82.3 6.3 Fair
## 376 Yes 97.3 8.0 Fair
## 378 No 86.9 7.2 Good
## 385 No 87.2 8.0 Good
## 400 No 80.0 6.6 Poor
## 401 No 79.9 7.3 Fair
## 406 No 89.3 6.4 Good
## 410 No 100.0 6.6 Fair
## 414 Yes 85.3 5.6 Poor
## 419 No 79.6 4.0 Good
## 420 No 93.9 6.2 Good
## 424 No 82.3 4.7 Good
## 439 No 89.3 6.3 Fair
## 440 No 92.4 7.8 Good
## 443 No 91.1 7.6 Poor
## 447 Yes 75.9 5.9 Fair
## 451 No 98.5 6.5 Fair
## 457 Yes 86.0 4.6 Good
## 458 No 86.5 5.7 Good
## 462 No 92.3 5.0 Fair
## 467 No 90.3 6.1 Good
## 473 No 82.9 6.0 Poor
## 481 Yes 81.2 5.0 Good
## 485 No 85.3 5.1 Fair
## 491 No 94.6 5.5 Good
## 492 No 84.8 8.3 Good
## 504 Yes 84.4 7.1 Fair
## 508 No 79.6 7.6 Fair
## 510 No 82.8 5.4 Poor
## 512 No 100.0 5.9 Fair
## 513 No 88.2 3.8 Good
## 522 No 82.2 7.7 Fair
## 524 No 83.0 6.6 Good
## 530 No 84.8 7.5 Fair
## 534 No 86.2 5.7 Fair
## 538 Yes 80.0 3.6 Good
## 539 No 83.3 4.3 Poor
## 542 Yes 84.8 5.4 Good
## 546 No 89.5 4.1 Fair
## 547 Yes 85.8 5.4 Good
## 550 No 92.5 9.5 Good
## 552 Yes 89.3 4.8 Poor
## 559 No 89.3 5.3 Fair
## 565 No 92.0 8.0 Good
## 567 No 86.7 7.0 Poor
## 573 No 82.7 5.0 Good
## 574 No 83.6 8.2 Fair
## 577 No 91.4 5.6 Fair
## 592 No 85.1 6.5 Fair
## 593 Yes 83.2 6.5 Fair
## 597 No 98.2 8.3 Fair
## 608 No 83.0 6.3 Poor
## 609 No 81.3 6.6 Fair
## 619 No 84.4 6.2 Good
## 631 No 95.9 8.3 Good
## 637 No 81.6 9.1 Fair
## 649 No 96.7 8.4 Good
## 651 No 78.6 8.2 Fair
## 656 No 82.5 5.1 Poor
## 658 No 88.8 5.8 Fair
## 662 No 82.2 5.8 Good
## 665 No 83.1 5.0 Fair
## 675 No 91.6 7.3 Poor
## 683 No 88.9 4.8 Poor
## 685 No 81.8 3.6 Fair
## 698 No 88.0 5.6 Good
## 709 No 92.6 5.3 Good
## 711 No 78.9 7.2 Fair
## 717 No 83.7 5.6 Good
## 718 Yes 96.3 6.9 Good
## 723 No 98.8 6.4 Good
## 729 No 80.1 5.6 Fair
## 731 Yes 91.9 5.0 Good
## 732 No 92.2 6.2 Good
## 742 No 98.5 5.4 Poor
## 754 No 83.3 5.7 Fair
## 755 No 85.7 7.1 Good
## 757 No 88.3 6.2 Good
## 760 Yes 90.2 5.2 Fair
## 764 Yes 91.1 5.5 Good
## 771 No 94.7 6.0 Good
## 774 No 100.0 6.2 Fair
## 777 No 93.6 8.2 Poor
## 782 No 82.4 6.4 Fair
## 783 Yes 90.6 8.6 Fair
## 800 No 82.2 7.1 Good
## 802 No 99.1 6.9 Fair
## 805 Yes 88.4 4.4 Good
## 812 Yes 87.0 7.1 Good
## 821 No 90.7 6.9 Fair
## 829 No 86.1 4.0 Fair
## 837 No 92.0 3.8 Fair
## 839 No 88.1 5.2 Fair
## 842 Yes 81.4 6.9 Fair
## 844 Yes 92.0 6.3 Fair
## 861 No 100.0 8.3 Poor
## 865 Yes 88.0 5.4 Fair
## 866 No 82.6 5.4 Good
## 892 Yes 85.3 6.5 Good
## 896 No 83.8 5.6 Fair
## 900 No 80.8 5.1 Poor
## 916 No 80.3 5.6 Fair
## 925 Yes 97.4 5.5 Poor
## 926 Yes 97.3 8.7 Good
## 927 No 81.7 8.8 Fair
## 936 Yes 87.1 7.3 Poor
## 937 No 88.6 4.9 Good
## 942 No 88.8 5.6 Fair
## 947 No 91.7 5.6 Fair
## 954 No 81.5 6.4 Fair
## 955 No 82.7 7.7 Good
## 963 Yes 85.4 6.5 Good
## 964 No 95.9 4.7 Poor
## 967 No 83.5 7.0 Poor
## 976 No 84.1 8.1 Fair
## 987 No 91.4 7.0 Poor
## 988 Yes 85.8 5.6 Fair
## 991 No 91.7 6.5 Good
## 997 Yes 86.0 6.8 Poor
## exercise_frequency parental_education_level internet_quality
## 1 6 Master Average
## 5 3 Master Good
## 17 3 High School Poor
## 21 3 Master Good
## 25 4 Bachelor Average
## 32 4 Bachelor Average
## 35 1 High School Good
## 42 6 Bachelor Average
## 43 3 High School Poor
## 48 4 None Good
## 49 3 Bachelor Good
## 51 4 Master Good
## 52 0 High School Average
## 57 6 Bachelor Average
## 61 1 High School Average
## 68 0 Master Good
## 71 2 Bachelor Good
## 72 0 High School Poor
## 78 1 Bachelor Poor
## 82 5 High School Poor
## 83 6 High School Poor
## 84 6 High School Good
## 92 5 High School Average
## 96 0 High School Good
## 99 3 Bachelor Good
## 100 1 High School Good
## 103 0 None Average
## 109 4 High School Average
## 122 0 High School Good
## 125 2 Bachelor Average
## 137 1 Bachelor Good
## 139 3 Master Average
## 141 6 High School Good
## 143 4 Bachelor Poor
## 144 3 None Good
## 151 4 Bachelor Average
## 156 3 High School Good
## 158 4 Bachelor Poor
## 159 4 Bachelor Good
## 161 0 Master Average
## 165 3 High School Average
## 167 1 High School Average
## 170 2 Bachelor Good
## 176 3 Master Good
## 179 5 None Good
## 180 2 High School Average
## 187 3 Bachelor Average
## 190 2 High School Average
## 191 6 Master Good
## 195 0 High School Good
## 197 4 High School Poor
## 200 2 Bachelor Good
## 204 6 Master Poor
## 206 0 High School Good
## 208 3 Bachelor Good
## 211 0 Master Good
## 217 6 High School Average
## 222 4 High School Good
## 230 4 High School Good
## 235 5 High School Good
## 240 0 Master Poor
## 249 3 High School Good
## 252 1 Master Average
## 257 0 Bachelor Good
## 262 0 None Poor
## 264 5 Bachelor Average
## 268 3 Bachelor Good
## 271 4 High School Good
## 275 4 High School Average
## 277 4 High School Good
## 286 0 None Poor
## 298 2 Master Average
## 304 6 None Good
## 309 6 Master Good
## 329 4 Master Good
## 331 6 Master Average
## 354 2 High School Good
## 355 1 High School Good
## 359 5 High School Average
## 364 5 Master Poor
## 371 1 High School Average
## 375 4 High School Good
## 376 6 Bachelor Average
## 378 2 High School Poor
## 385 1 High School Poor
## 400 3 Bachelor Good
## 401 0 Bachelor Good
## 406 2 High School Good
## 410 2 High School Average
## 414 3 High School Average
## 419 4 None Average
## 420 6 Master Good
## 424 1 High School Poor
## 439 2 Master Average
## 440 6 High School Good
## 443 5 None Average
## 447 1 High School Average
## 451 2 Bachelor Average
## 457 5 Master Poor
## 458 3 High School Good
## 462 6 Master Poor
## 467 2 Bachelor Average
## 473 3 Bachelor Average
## 481 5 None Good
## 485 2 Bachelor Good
## 491 3 Master Good
## 492 0 High School Good
## 504 0 High School Average
## 508 1 None Poor
## 510 6 High School Average
## 512 5 High School Average
## 513 5 None Poor
## 522 1 High School Good
## 524 5 High School Average
## 530 6 Master Good
## 534 1 High School Good
## 538 5 Bachelor Average
## 539 2 High School Poor
## 542 2 High School Good
## 546 5 Master Average
## 547 2 Master Good
## 550 4 Bachelor Average
## 552 1 High School Average
## 559 0 High School Average
## 565 3 High School Average
## 567 5 High School Good
## 573 4 High School Good
## 574 5 Bachelor Good
## 577 3 High School Good
## 592 4 High School Good
## 593 5 Master Average
## 597 3 Bachelor Poor
## 608 3 Bachelor Average
## 609 2 Bachelor Good
## 619 0 Bachelor Average
## 631 1 Master Average
## 637 2 Bachelor Average
## 649 3 High School Good
## 651 0 Bachelor Good
## 656 0 Bachelor Average
## 658 1 Bachelor Average
## 662 3 Bachelor Poor
## 665 4 High School Good
## 675 2 High School Poor
## 683 4 None Average
## 685 3 Bachelor Good
## 698 4 High School Good
## 709 4 None Poor
## 711 5 High School Good
## 717 2 High School Average
## 718 1 Master Average
## 723 3 Bachelor Good
## 729 2 None Average
## 731 3 Bachelor Good
## 732 4 Master Poor
## 742 1 Bachelor Good
## 754 1 Master Good
## 755 4 Bachelor Poor
## 757 4 Bachelor Good
## 760 1 Bachelor Average
## 764 3 High School Poor
## 771 5 Bachelor Good
## 774 2 High School Poor
## 777 0 High School Average
## 782 4 Bachelor Good
## 783 0 None Good
## 800 2 Bachelor Average
## 802 1 Master Good
## 805 2 High School Average
## 812 4 High School Average
## 821 1 Master Poor
## 829 6 Bachelor Good
## 837 5 None Poor
## 839 4 Bachelor Average
## 842 5 High School Average
## 844 4 Master Poor
## 861 1 High School Poor
## 865 1 High School Average
## 866 2 Master Good
## 892 5 High School Average
## 896 3 Bachelor Average
## 900 0 None Average
## 916 0 High School Average
## 925 5 Bachelor Average
## 926 1 None Good
## 927 5 High School Good
## 936 1 Master Good
## 937 5 Bachelor Average
## 942 6 High School Good
## 947 3 Bachelor Good
## 954 5 High School Average
## 955 5 Master Good
## 963 0 Master Average
## 964 0 High School Good
## 967 1 High School Good
## 976 6 Bachelor Average
## 987 5 Master Poor
## 988 1 High School Average
## 991 1 Master Good
## 997 1 High School Average
## mental_health_rating extracurricular_participation exam_score
## 1 8 Yes 56.2
## 5 1 No 66.4
## 17 8 Yes 55.2
## 21 1 No 58.5
## 25 2 No 54.9
## 32 3 Yes 51.3
## 35 4 No 51.2
## 42 1 No 66.0
## 43 1 Yes 63.5
## 48 8 Yes 59.7
## 49 6 No 52.6
## 51 10 Yes 62.0
## 52 5 No 59.7
## 57 8 No 66.7
## 61 4 No 61.2
## 68 2 No 62.2
## 71 2 Yes 59.7
## 72 10 Yes 55.1
## 78 1 No 57.2
## 82 2 No 57.6
## 83 4 No 60.2
## 84 2 Yes 50.5
## 92 2 No 63.4
## 96 6 No 50.2
## 99 7 Yes 63.9
## 100 6 No 65.6
## 103 1 No 60.8
## 109 9 Yes 60.0
## 122 2 No 60.5
## 125 4 No 61.7
## 137 4 No 67.6
## 139 2 No 64.1
## 141 8 No 63.4
## 143 4 Yes 65.4
## 144 2 No 62.0
## 151 2 No 64.2
## 156 10 No 57.3
## 158 3 No 56.7
## 159 5 Yes 62.3
## 161 5 No 65.2
## 165 2 Yes 63.1
## 167 7 No 66.7
## 170 1 No 62.4
## 176 7 No 65.3
## 179 9 No 65.2
## 180 4 No 58.1
## 187 8 No 55.2
## 190 7 Yes 60.5
## 191 5 No 55.4
## 195 10 No 66.6
## 197 5 No 64.5
## 200 4 No 61.6
## 204 5 No 58.5
## 206 4 No 56.4
## 208 6 Yes 62.3
## 211 9 No 66.3
## 217 1 Yes 60.3
## 222 6 Yes 63.7
## 230 3 Yes 52.4
## 235 5 No 62.9
## 240 6 No 52.5
## 249 3 No 54.1
## 252 2 No 65.2
## 257 6 No 64.5
## 262 3 Yes 65.1
## 264 6 No 62.7
## 268 10 No 53.3
## 271 3 Yes 63.0
## 275 4 Yes 58.6
## 277 4 Yes 61.5
## 286 6 Yes 60.6
## 298 3 No 60.1
## 304 6 No 63.7
## 309 6 Yes 61.5
## 329 5 No 50.3
## 331 2 No 52.2
## 354 6 No 48.7
## 355 1 No 47.6
## 359 5 No 56.3
## 364 4 No 56.9
## 371 5 Yes 59.8
## 375 6 No 57.3
## 376 1 Yes 50.3
## 378 6 Yes 67.9
## 385 9 No 59.8
## 400 3 Yes 59.6
## 401 2 No 60.4
## 406 10 Yes 65.4
## 410 3 No 53.0
## 414 9 No 60.3
## 419 3 Yes 54.7
## 420 5 No 58.7
## 424 1 No 53.2
## 439 5 Yes 66.8
## 440 3 No 63.8
## 443 7 No 65.0
## 447 1 No 56.3
## 451 8 No 62.7
## 457 1 No 68.7
## 458 4 No 58.9
## 462 5 No 49.7
## 467 10 No 59.7
## 473 3 No 56.1
## 481 1 No 55.9
## 485 7 Yes 56.9
## 491 2 Yes 63.6
## 492 2 No 53.0
## 504 7 No 63.0
## 508 1 No 57.3
## 510 3 No 64.6
## 512 2 No 63.0
## 513 2 Yes 61.6
## 522 3 No 64.2
## 524 1 No 61.7
## 530 1 No 65.7
## 534 10 No 54.2
## 538 8 No 58.9
## 539 6 No 67.5
## 542 5 No 67.4
## 546 4 Yes 54.1
## 547 1 Yes 62.9
## 550 4 No 51.5
## 552 5 No 67.0
## 559 1 Yes 60.1
## 565 4 No 61.5
## 567 4 Yes 63.9
## 573 3 No 60.4
## 574 3 No 67.2
## 577 10 No 61.7
## 592 1 No 64.0
## 593 3 No 60.1
## 597 1 No 66.1
## 608 8 Yes 57.5
## 609 5 Yes 61.1
## 619 1 Yes 61.4
## 631 10 Yes 50.3
## 637 1 Yes 58.4
## 649 10 Yes 54.6
## 651 5 No 61.5
## 656 7 No 57.6
## 658 9 Yes 67.4
## 662 10 No 62.5
## 665 4 No 64.4
## 675 6 No 63.6
## 683 8 No 53.4
## 685 4 Yes 59.8
## 698 9 No 66.9
## 709 6 No 53.2
## 711 1 No 58.1
## 717 7 Yes 63.5
## 718 4 Yes 66.3
## 723 5 No 58.6
## 729 3 Yes 59.9
## 731 1 No 58.4
## 732 1 No 63.6
## 742 3 No 51.3
## 754 2 No 59.2
## 755 9 No 51.8
## 757 4 No 58.5
## 760 6 Yes 54.9
## 764 1 Yes 59.5
## 771 10 No 53.0
## 774 2 Yes 57.1
## 777 4 No 65.6
## 782 6 No 66.9
## 783 3 No 56.0
## 800 2 Yes 66.3
## 802 4 No 65.5
## 805 2 Yes 59.0
## 812 5 No 53.0
## 821 5 No 50.7
## 829 8 No 58.2
## 837 5 Yes 58.7
## 839 8 Yes 60.3
## 842 6 No 62.6
## 844 3 No 60.6
## 861 8 Yes 65.6
## 865 10 Yes 53.3
## 866 2 No 65.9
## 892 4 Yes 65.6
## 896 6 No 57.0
## 900 1 No 55.7
## 916 8 No 61.0
## 925 1 Yes 57.4
## 926 7 No 53.6
## 927 4 Yes 58.8
## 936 2 No 62.0
## 937 2 Yes 66.1
## 942 6 No 63.4
## 947 1 Yes 55.0
## 954 7 No 61.7
## 955 1 Yes 66.0
## 963 6 No 55.1
## 964 2 No 53.3
## 967 8 Yes 56.4
## 976 3 No 66.7
## 987 8 No 59.6
## 988 9 No 56.2
## 991 5 No 63.6
## 997 6 Yes 65.9
siswa[which(siswa2$cluster == 3),]
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 9 S1008 23 Female 4.4 2.2 1.7
## 13 S1012 19 Female 3.7 2.1 0.4
## 14 S1013 19 Female 3.4 2.7 2.7
## 15 S1014 24 Male 2.4 1.5 0.7
## 16 S1015 21 Male 3.1 5.0 1.0
## 18 S1017 24 Female 3.4 2.7 1.2
## 22 S1021 21 Male 5.6 2.1 2.4
## 27 S1026 22 Male 2.0 0.8 0.5
## 28 S1027 18 Male 3.2 2.2 2.8
## 30 S1029 20 Female 2.0 3.2 3.8
## 34 S1033 18 Female 4.0 0.9 1.1
## 36 S1035 21 Female 4.2 1.7 0.0
## 41 S1040 19 Female 3.7 4.7 2.0
## 46 S1045 20 Male 3.6 3.1 1.1
## 47 S1046 24 Male 2.4 4.3 1.0
## 54 S1053 20 Female 4.8 2.0 3.5
## 58 S1057 17 Male 3.9 2.4 1.2
## 62 S1061 23 Male 4.0 1.7 2.6
## 69 S1068 20 Female 4.9 0.3 2.7
## 75 S1074 21 Female 2.3 1.0 0.4
## 79 S1078 23 Female 4.4 2.0 2.0
## 87 S1086 22 Male 3.6 1.4 2.3
## 89 S1088 20 Male 3.9 2.3 2.1
## 94 S1093 22 Male 4.1 2.5 3.0
## 98 S1097 20 Male 4.1 2.0 1.0
## 105 S1104 18 Male 3.8 3.3 2.5
## 107 S1106 22 Male 3.3 0.4 0.8
## 110 S1109 23 Female 5.4 2.4 2.5
## 112 S1111 23 Female 4.4 1.9 0.8
## 115 S1114 23 Female 5.3 1.2 0.8
## 116 S1115 20 Female 3.7 1.2 3.3
## 118 S1117 22 Male 4.1 1.1 1.9
## 124 S1123 23 Female 4.9 1.3 2.8
## 131 S1130 20 Female 4.1 4.6 3.4
## 133 S1132 17 Female 3.5 2.6 3.2
## 134 S1133 21 Female 4.8 1.5 2.2
## 136 S1135 21 Male 3.4 3.1 0.6
## 140 S1139 17 Male 4.0 0.7 3.1
## 147 S1146 19 Female 3.5 3.2 2.4
## 149 S1148 17 Female 5.1 3.1 3.7
## 150 S1149 24 Female 4.2 3.6 1.8
## 152 S1151 19 Female 4.7 4.7 2.3
## 160 S1159 20 Female 3.2 1.2 4.4
## 164 S1163 20 Male 4.2 4.5 2.1
## 168 S1167 23 Male 3.3 2.0 1.2
## 177 S1176 19 Male 2.6 3.1 0.3
## 181 S1180 21 Female 3.7 3.3 2.6
## 184 S1183 19 Female 5.3 1.9 3.2
## 188 S1187 23 Male 4.9 1.5 3.5
## 193 S1192 17 Female 4.3 3.3 2.3
## 194 S1193 23 Male 4.6 0.9 1.9
## 201 S1200 23 Female 3.5 1.3 0.5
## 209 S1208 22 Male 2.8 1.2 2.2
## 221 S1220 19 Female 4.5 1.3 4.2
## 225 S1224 18 Female 4.6 2.5 3.0
## 229 S1228 17 Male 3.5 3.6 2.7
## 232 S1231 20 Female 2.5 1.4 0.9
## 239 S1238 19 Male 5.3 2.7 4.3
## 261 S1260 17 Male 4.3 3.8 1.1
## 269 S1268 23 Male 3.2 3.8 2.3
## 270 S1269 19 Female 3.1 2.1 3.0
## 278 S1277 22 Female 5.9 3.5 0.4
## 281 S1280 20 Female 4.5 4.6 2.0
## 283 S1282 22 Male 3.8 0.9 2.0
## 291 S1290 17 Male 4.0 1.4 1.3
## 293 S1292 17 Female 3.9 2.4 1.7
## 303 S1302 19 Female 3.2 3.1 2.0
## 308 S1307 18 Female 4.1 2.5 1.9
## 310 S1309 22 Male 4.2 2.2 1.6
## 313 S1312 20 Male 3.3 1.6 1.9
## 314 S1313 23 Female 3.5 0.8 0.6
## 324 S1323 18 Male 2.9 1.6 1.7
## 325 S1324 22 Female 3.8 1.8 0.7
## 334 S1333 19 Male 3.8 4.2 1.2
## 340 S1339 20 Female 4.4 2.9 1.4
## 346 S1345 23 Male 2.8 1.5 0.3
## 347 S1346 19 Male 4.5 6.0 2.2
## 348 S1347 20 Other 4.9 4.0 1.7
## 349 S1348 24 Female 3.6 0.9 2.4
## 352 S1351 17 Female 3.2 3.2 0.8
## 356 S1355 23 Male 3.3 2.9 2.3
## 361 S1360 20 Female 5.3 2.7 2.4
## 362 S1361 17 Male 4.4 6.1 0.0
## 363 S1362 17 Female 3.2 2.9 0.7
## 366 S1365 23 Female 5.1 3.1 0.5
## 369 S1368 19 Female 2.8 5.0 0.0
## 370 S1369 23 Female 1.8 1.1 0.6
## 384 S1383 21 Male 2.8 2.1 0.6
## 388 S1387 23 Male 4.0 1.8 3.4
## 389 S1388 17 Male 4.6 3.7 0.6
## 390 S1389 17 Male 5.3 5.0 1.8
## 392 S1391 19 Female 3.2 0.2 0.1
## 396 S1395 20 Male 4.1 3.1 1.8
## 398 S1397 22 Female 2.3 2.5 1.9
## 404 S1403 17 Female 4.8 2.8 3.1
## 411 S1410 19 Female 4.7 2.5 1.5
## 415 S1414 19 Female 4.2 5.6 0.4
## 416 S1415 17 Male 3.4 1.2 2.1
## 425 S1424 24 Male 4.1 3.8 1.9
## 426 S1425 21 Male 4.5 1.7 0.4
## 427 S1426 17 Male 3.8 0.9 1.0
## 441 S1440 17 Male 3.2 0.2 0.9
## 450 S1449 22 Female 3.1 4.0 1.3
## 460 S1459 19 Female 5.2 4.2 2.8
## 461 S1460 18 Male 3.7 3.3 0.3
## 474 S1473 20 Male 5.0 2.9 2.6
## 478 S1477 24 Male 4.1 3.6 2.2
## 487 S1486 19 Female 3.2 2.1 2.1
## 497 S1496 19 Female 3.8 1.2 1.8
## 498 S1497 20 Male 5.5 3.6 0.0
## 499 S1498 17 Female 2.0 2.7 2.0
## 502 S1501 21 Female 3.3 1.4 1.0
## 509 S1508 24 Male 4.8 3.2 1.6
## 516 S1515 19 Female 3.0 0.1 1.9
## 517 S1516 24 Male 5.3 2.9 1.9
## 519 S1518 24 Female 5.0 2.6 3.1
## 520 S1519 18 Male 2.9 2.2 1.7
## 526 S1525 23 Male 5.3 2.9 0.9
## 531 S1530 17 Male 4.4 1.3 2.4
## 535 S1534 19 Male 3.7 2.9 2.8
## 540 S1539 18 Male 3.8 4.1 1.6
## 541 S1540 23 Female 4.0 3.0 3.0
## 544 S1543 18 Female 5.2 3.7 0.9
## 545 S1544 17 Female 4.1 2.8 1.6
## 556 S1555 24 Male 3.4 0.0 1.6
## 557 S1556 24 Female 4.0 3.3 5.4
## 558 S1557 22 Male 3.8 3.6 4.3
## 561 S1560 20 Female 4.3 4.8 2.9
## 564 S1563 23 Male 4.4 4.3 0.0
## 566 S1565 18 Female 5.1 2.5 2.4
## 579 S1578 18 Male 4.9 4.4 1.4
## 581 S1580 22 Female 3.3 3.0 1.0
## 582 S1581 17 Male 3.2 3.1 2.4
## 587 S1586 22 Female 5.0 2.8 0.0
## 600 S1599 22 Male 5.5 3.2 1.8
## 602 S1601 24 Other 4.6 1.5 1.8
## 605 S1604 23 Other 3.1 2.8 2.0
## 606 S1605 19 Male 2.2 3.5 1.8
## 611 S1610 21 Female 3.6 2.3 2.9
## 614 S1613 18 Female 3.8 0.6 1.0
## 617 S1616 17 Male 2.6 2.2 0.0
## 618 S1617 24 Female 3.4 2.2 0.4
## 622 S1621 18 Female 3.4 1.7 1.4
## 628 S1627 22 Male 2.4 0.9 0.8
## 629 S1628 23 Male 4.0 2.0 2.0
## 630 S1629 23 Male 5.5 2.7 3.2
## 632 S1631 20 Female 3.7 1.8 1.3
## 633 S1632 21 Male 3.3 2.0 2.1
## 635 S1634 18 Female 3.8 2.5 1.8
## 642 S1641 22 Male 3.4 5.7 0.0
## 647 S1646 21 Female 3.9 2.4 1.8
## 648 S1647 17 Female 4.3 1.5 0.0
## 654 S1653 21 Female 4.8 2.1 1.9
## 659 S1658 20 Female 3.2 3.0 1.4
## 661 S1660 24 Female 3.3 2.2 1.4
## 663 S1662 21 Male 3.2 2.4 1.8
## 664 S1663 22 Female 2.5 0.8 2.0
## 666 S1665 21 Female 4.2 4.5 3.1
## 669 S1668 21 Male 3.4 3.6 3.1
## 670 S1669 23 Male 3.5 2.1 2.3
## 673 S1672 22 Female 4.9 4.4 2.9
## 676 S1675 21 Female 4.0 2.1 1.4
## 678 S1677 24 Male 3.7 4.5 2.2
## 681 S1680 24 Other 3.3 2.9 1.1
## 684 S1683 20 Female 3.6 1.1 0.3
## 688 S1687 21 Male 2.2 1.5 1.3
## 690 S1689 18 Female 4.1 1.9 0.2
## 691 S1690 18 Male 2.5 1.8 1.2
## 696 S1695 20 Female 2.5 1.9 1.6
## 700 S1699 19 Male 3.9 2.7 1.6
## 701 S1700 18 Female 3.3 1.9 1.3
## 705 S1704 21 Female 5.5 3.0 1.4
## 712 S1711 18 Male 3.2 3.1 2.0
## 714 S1713 20 Female 4.7 1.8 0.2
## 715 S1714 24 Female 5.5 2.5 1.0
## 725 S1724 17 Male 3.5 0.0 1.7
## 727 S1726 19 Male 2.3 1.9 0.0
## 734 S1733 24 Male 3.3 2.8 0.0
## 735 S1734 18 Female 3.4 3.1 1.4
## 738 S1737 21 Male 5.9 4.6 2.6
## 740 S1739 20 Male 3.1 2.8 2.2
## 741 S1740 23 Female 4.5 2.4 1.2
## 743 S1742 18 Female 5.3 1.8 3.6
## 746 S1745 18 Female 4.2 3.4 1.4
## 759 S1758 17 Male 3.2 2.6 2.8
## 769 S1768 20 Female 5.2 4.4 0.5
## 786 S1785 17 Female 2.9 1.1 2.8
## 795 S1794 17 Female 2.6 1.4 1.2
## 804 S1803 17 Female 4.5 1.2 2.6
## 811 S1810 19 Male 4.4 0.2 1.4
## 813 S1812 17 Female 4.5 0.9 2.2
## 815 S1814 20 Male 3.5 3.6 2.2
## 817 S1816 17 Female 5.2 4.0 2.4
## 824 S1823 23 Male 4.8 2.8 0.6
## 830 S1829 24 Female 4.1 5.4 0.9
## 831 S1830 21 Female 4.7 4.3 0.0
## 832 S1831 21 Female 4.6 3.2 1.3
## 835 S1834 17 Other 4.0 1.4 0.0
## 841 S1840 23 Male 2.5 0.2 0.9
## 843 S1842 17 Female 2.3 2.0 1.8
## 847 S1846 18 Male 3.5 3.1 0.0
## 848 S1847 18 Male 2.3 0.6 1.1
## 849 S1848 23 Other 4.5 3.8 1.3
## 852 S1851 18 Female 2.4 4.1 0.3
## 854 S1853 19 Female 2.1 0.8 2.0
## 857 S1856 19 Female 3.1 0.7 1.3
## 869 S1868 23 Male 3.8 1.9 3.6
## 870 S1869 22 Male 2.8 2.5 2.7
## 873 S1872 18 Female 4.2 3.0 0.5
## 877 S1876 18 Male 4.1 2.1 2.4
## 884 S1883 24 Male 3.7 2.8 2.1
## 888 S1887 22 Male 3.5 2.1 4.9
## 894 S1893 21 Female 3.0 1.6 2.0
## 898 S1897 20 Male 4.8 2.7 2.3
## 899 S1898 23 Female 3.9 1.1 2.9
## 902 S1901 20 Male 3.3 2.1 2.1
## 905 S1904 19 Female 3.9 0.7 0.7
## 915 S1914 20 Female 2.6 1.6 1.3
## 917 S1916 18 Male 4.4 3.4 1.4
## 944 S1943 21 Male 5.2 3.8 2.8
## 950 S1949 21 Female 4.4 0.3 2.1
## 962 S1961 17 Female 4.7 1.8 1.6
## 968 S1967 22 Male 5.2 4.1 3.8
## 975 S1974 20 Male 3.0 2.5 1.7
## 977 S1976 24 Female 3.7 3.6 1.7
## 981 S1980 20 Female 3.7 3.5 2.5
## 985 S1984 24 Male 3.2 3.0 0.1
## 986 S1985 18 Male 5.7 3.1 0.0
## 993 S1992 18 Male 3.5 0.0 1.9
## 994 S1993 20 Male 3.8 2.1 1.0
## 999 S1998 24 Male 5.4 4.1 1.1
## 1000 S1999 19 Female 4.3 2.9 1.9
## part_time_job attendance_percentage sleep_hours diet_quality
## 9 No 100.0 7.1 Good
## 13 Yes 81.1 4.5 Fair
## 14 No 89.3 4.7 Fair
## 15 No 87.4 6.7 Poor
## 16 No 97.5 6.5 Good
## 18 No 94.7 7.5 Poor
## 22 No 95.6 7.2 Fair
## 27 No 83.8 6.5 Good
## 28 Yes 88.1 4.8 Fair
## 30 Yes 82.6 6.7 Poor
## 34 No 99.5 5.8 Poor
## 36 Yes 84.2 6.5 Good
## 41 No 98.8 8.5 Good
## 46 No 93.9 8.4 Fair
## 47 No 87.9 8.9 Poor
## 54 No 100.0 6.0 Good
## 58 No 90.7 7.1 Good
## 62 No 100.0 5.0 Fair
## 69 Yes 92.3 6.2 Good
## 75 No 100.0 6.4 Fair
## 79 Yes 85.8 7.1 Good
## 87 No 83.1 9.5 Good
## 89 No 100.0 6.1 Poor
## 94 No 85.1 5.8 Good
## 98 No 90.4 5.4 Good
## 105 No 90.0 7.6 Good
## 107 No 83.3 9.1 Good
## 110 No 95.7 6.0 Fair
## 112 No 84.8 8.3 Good
## 115 No 92.3 8.2 Fair
## 116 No 88.5 7.7 Poor
## 118 No 82.3 7.5 Good
## 124 No 80.8 7.2 Good
## 131 No 85.3 5.5 Poor
## 133 Yes 84.8 7.5 Fair
## 134 No 87.9 5.9 Fair
## 136 No 82.8 4.7 Fair
## 140 No 86.0 5.6 Good
## 147 No 85.8 8.0 Poor
## 149 No 94.6 6.4 Fair
## 150 Yes 100.0 6.1 Fair
## 152 No 90.1 4.6 Good
## 160 No 81.5 7.4 Good
## 164 No 85.7 5.6 Poor
## 168 Yes 85.8 6.9 Poor
## 177 No 84.6 7.1 Good
## 181 Yes 100.0 7.5 Fair
## 184 No 93.2 6.1 Fair
## 188 No 84.3 6.8 Fair
## 193 No 86.5 5.5 Poor
## 194 No 86.0 4.8 Good
## 201 No 89.8 7.8 Fair
## 209 Yes 94.1 7.2 Fair
## 221 No 86.4 6.3 Fair
## 225 No 87.7 6.7 Fair
## 229 No 92.9 8.4 Fair
## 232 No 83.5 6.3 Good
## 239 No 90.5 6.9 Fair
## 261 No 95.3 4.8 Fair
## 269 No 100.0 5.1 Fair
## 270 No 93.3 8.4 Good
## 278 No 89.0 4.9 Good
## 281 No 87.9 6.5 Fair
## 283 Yes 79.9 6.2 Fair
## 291 No 80.7 4.8 Fair
## 293 Yes 91.0 7.5 Good
## 303 No 86.8 5.6 Fair
## 308 Yes 91.5 7.6 Fair
## 310 No 84.9 7.1 Fair
## 313 No 93.2 4.5 Good
## 314 No 89.2 7.7 Good
## 324 No 100.0 6.1 Good
## 325 No 97.5 8.2 Fair
## 334 No 92.2 7.1 Good
## 340 No 92.8 6.6 Fair
## 346 No 91.6 6.7 Fair
## 347 Yes 95.3 7.6 Poor
## 348 No 91.0 7.7 Fair
## 349 No 100.0 5.8 Poor
## 352 No 98.6 7.3 Good
## 356 Yes 89.6 8.3 Good
## 361 Yes 85.8 5.4 Good
## 362 No 92.6 5.1 Poor
## 363 No 92.0 6.1 Fair
## 366 Yes 81.9 4.8 Good
## 369 Yes 82.4 4.2 Fair
## 370 Yes 95.8 7.7 Poor
## 384 No 90.4 6.4 Good
## 388 No 87.1 8.1 Good
## 389 No 87.0 5.9 Good
## 390 No 84.9 4.8 Poor
## 392 Yes 87.2 7.2 Good
## 396 No 82.5 4.9 Fair
## 398 Yes 96.9 6.2 Fair
## 404 No 92.7 6.4 Fair
## 411 No 82.3 6.0 Fair
## 415 No 91.1 9.8 Poor
## 416 Yes 88.8 5.3 Fair
## 425 Yes 84.5 7.6 Fair
## 426 No 86.1 7.8 Poor
## 427 No 85.6 5.9 Good
## 441 No 100.0 6.9 Fair
## 450 No 85.2 8.0 Fair
## 460 Yes 93.0 7.5 Poor
## 461 Yes 87.4 6.6 Fair
## 474 No 96.2 6.7 Poor
## 478 No 93.8 6.9 Poor
## 487 No 94.3 8.1 Fair
## 497 No 86.1 4.7 Good
## 498 No 81.5 4.9 Fair
## 499 No 91.9 6.7 Good
## 502 No 96.8 6.2 Good
## 509 No 92.6 7.4 Fair
## 516 No 86.1 7.7 Good
## 517 No 100.0 5.2 Good
## 519 No 94.8 4.7 Poor
## 520 Yes 99.0 5.3 Good
## 526 No 91.6 5.0 Good
## 531 No 87.9 5.5 Good
## 535 No 100.0 6.5 Good
## 540 No 100.0 7.2 Good
## 541 No 83.2 7.7 Good
## 544 No 96.0 6.9 Good
## 545 No 100.0 7.3 Poor
## 556 No 95.2 5.4 Good
## 557 No 81.2 7.6 Fair
## 558 No 100.0 7.3 Poor
## 561 Yes 83.7 7.7 Fair
## 564 Yes 100.0 6.1 Fair
## 566 No 90.3 5.0 Poor
## 579 Yes 97.0 6.7 Fair
## 581 No 90.0 8.5 Good
## 582 No 91.3 6.7 Fair
## 587 Yes 92.5 6.1 Fair
## 600 No 100.0 7.5 Fair
## 602 No 81.5 7.3 Fair
## 605 No 100.0 6.8 Poor
## 606 No 100.0 3.3 Good
## 611 No 100.0 4.6 Fair
## 614 No 98.3 7.2 Fair
## 617 No 83.3 7.0 Fair
## 618 No 91.4 5.6 Fair
## 622 No 95.5 7.8 Good
## 628 No 92.5 8.3 Fair
## 629 No 85.3 6.5 Fair
## 630 Yes 91.9 7.3 Fair
## 632 No 91.9 6.3 Fair
## 633 No 87.7 6.8 Poor
## 635 No 85.0 6.3 Poor
## 642 No 86.9 5.3 Good
## 647 No 100.0 6.2 Poor
## 648 No 88.9 4.6 Poor
## 654 No 100.0 6.8 Fair
## 659 Yes 96.2 4.3 Good
## 661 No 89.1 5.9 Good
## 663 No 86.1 4.4 Fair
## 664 No 89.6 8.6 Fair
## 666 No 84.0 6.6 Good
## 669 No 89.2 6.4 Good
## 670 No 87.2 4.5 Good
## 673 No 94.0 5.6 Fair
## 676 No 100.0 7.7 Fair
## 678 No 85.9 9.1 Good
## 681 No 83.3 7.8 Poor
## 684 Yes 83.5 6.2 Fair
## 688 Yes 89.8 6.5 Poor
## 690 No 84.0 4.0 Fair
## 691 Yes 88.3 6.9 Fair
## 696 No 93.6 7.0 Good
## 700 No 92.1 6.0 Fair
## 701 No 100.0 7.0 Poor
## 705 No 92.9 5.2 Fair
## 712 No 100.0 5.4 Good
## 714 Yes 94.4 6.7 Fair
## 715 No 83.2 6.8 Fair
## 725 No 84.5 7.5 Poor
## 727 Yes 85.1 7.5 Fair
## 734 No 98.3 7.3 Fair
## 735 No 100.0 6.8 Poor
## 738 Yes 100.0 6.6 Fair
## 740 No 85.2 7.4 Poor
## 741 Yes 86.8 6.5 Poor
## 743 No 88.6 5.7 Fair
## 746 No 81.6 6.8 Good
## 759 No 100.0 7.1 Fair
## 769 No 81.6 6.2 Fair
## 786 No 100.0 7.8 Poor
## 795 No 83.6 8.5 Poor
## 804 No 86.0 5.3 Good
## 811 No 81.2 5.4 Good
## 813 No 84.8 5.9 Good
## 815 No 84.5 7.6 Fair
## 817 No 98.9 6.2 Fair
## 824 No 93.5 6.7 Fair
## 830 No 81.8 7.0 Poor
## 831 No 91.3 9.1 Good
## 832 No 84.2 6.8 Poor
## 835 Yes 100.0 6.5 Fair
## 841 Yes 89.5 7.5 Good
## 843 No 85.3 7.5 Fair
## 847 No 89.6 6.6 Fair
## 848 No 100.0 6.2 Fair
## 849 No 83.6 7.3 Fair
## 852 No 100.0 5.1 Poor
## 854 No 85.9 7.3 Good
## 857 Yes 88.0 7.6 Fair
## 869 No 96.8 5.5 Fair
## 870 Yes 86.4 6.3 Fair
## 873 No 100.0 6.0 Fair
## 877 No 87.2 5.5 Fair
## 884 No 82.3 5.8 Good
## 888 No 97.0 7.2 Good
## 894 No 98.6 6.0 Good
## 898 No 93.2 6.6 Good
## 899 No 86.8 7.0 Fair
## 902 No 99.4 4.4 Fair
## 905 Yes 88.6 5.7 Poor
## 915 Yes 87.4 5.2 Good
## 917 No 91.1 6.5 Good
## 944 No 88.2 4.5 Good
## 950 No 100.0 5.5 Fair
## 962 No 95.8 5.1 Good
## 968 No 95.6 5.9 Fair
## 975 No 90.1 4.0 Fair
## 977 No 97.6 5.7 Good
## 981 No 93.0 5.2 Poor
## 985 No 97.5 6.8 Fair
## 986 Yes 86.6 5.7 Fair
## 993 No 96.8 6.4 Fair
## 994 No 89.0 5.2 Good
## 999 Yes 100.0 7.6 Fair
## 1000 No 89.4 7.1 Good
## exercise_frequency parental_education_level internet_quality
## 9 3 Bachelor Good
## 13 1 Bachelor Good
## 14 4 Bachelor Good
## 15 6 Bachelor Average
## 16 6 High School Average
## 18 0 High School Average
## 22 1 High School Good
## 27 4 Bachelor Poor
## 28 5 Bachelor Average
## 30 6 High School Poor
## 34 2 None Average
## 36 1 Bachelor Average
## 41 6 Bachelor Good
## 46 1 Bachelor Average
## 47 5 High School Average
## 54 0 Bachelor Good
## 58 1 Bachelor Average
## 62 4 Bachelor Good
## 69 0 Bachelor Poor
## 75 6 None Good
## 79 4 Master Good
## 87 5 Bachelor Poor
## 89 6 Bachelor Good
## 94 4 None Good
## 98 5 Bachelor Average
## 105 5 Bachelor Good
## 107 6 High School Good
## 110 2 High School Good
## 112 1 High School Average
## 115 2 High School Average
## 116 5 None Good
## 118 1 None Good
## 124 1 Bachelor Average
## 131 5 Bachelor Good
## 133 5 Bachelor Average
## 134 4 Bachelor Poor
## 136 4 Bachelor Good
## 140 6 High School Poor
## 147 2 Bachelor Good
## 149 1 Master Good
## 150 3 None Poor
## 152 1 High School Good
## 160 3 Bachelor Average
## 164 2 Master Good
## 168 0 High School Good
## 177 6 High School Average
## 181 5 None Good
## 184 1 High School Average
## 188 0 Bachelor Average
## 193 4 Master Good
## 194 4 Master Good
## 201 2 Bachelor Good
## 209 3 High School Average
## 221 0 High School Average
## 225 5 Bachelor Poor
## 229 3 High School Average
## 232 6 Bachelor Good
## 239 1 Bachelor Poor
## 261 1 High School Average
## 269 3 Bachelor Poor
## 270 4 Bachelor Average
## 278 1 None Good
## 281 2 Bachelor Good
## 283 1 None Good
## 291 2 None Poor
## 293 4 Master Average
## 303 5 High School Poor
## 308 2 None Good
## 310 5 High School Good
## 313 6 Master Average
## 314 0 High School Good
## 324 0 Bachelor Good
## 325 5 Bachelor Average
## 334 1 High School Good
## 340 6 Master Good
## 346 3 Bachelor Poor
## 347 3 High School Good
## 348 0 Master Average
## 349 2 Bachelor Average
## 352 0 High School Good
## 356 2 High School Average
## 361 4 High School Good
## 362 4 Bachelor Average
## 363 5 Master Poor
## 366 1 None Poor
## 369 3 Bachelor Good
## 370 6 Bachelor Average
## 384 2 High School Poor
## 388 1 Bachelor Poor
## 389 3 High School Average
## 390 2 High School Average
## 392 4 None Average
## 396 4 High School Good
## 398 4 Bachelor Good
## 404 1 None Good
## 411 6 High School Average
## 415 0 Bachelor Poor
## 416 4 None Average
## 425 1 Bachelor Poor
## 426 4 Bachelor Poor
## 427 5 Bachelor Good
## 441 4 Bachelor Good
## 450 6 High School Good
## 460 2 High School Good
## 461 6 High School Good
## 474 6 High School Average
## 478 5 High School Poor
## 487 0 None Good
## 497 6 High School Average
## 498 1 None Average
## 499 6 High School Average
## 502 0 Bachelor Poor
## 509 4 Bachelor Poor
## 516 6 High School Poor
## 517 3 Bachelor Poor
## 519 0 Bachelor Good
## 520 2 Bachelor Average
## 526 4 High School Poor
## 531 2 Master Good
## 535 6 Bachelor Average
## 540 4 None Good
## 541 3 Bachelor Average
## 544 0 High School Poor
## 545 6 Bachelor Average
## 556 3 None Average
## 557 6 Bachelor Poor
## 558 1 Bachelor Poor
## 561 3 High School Good
## 564 3 Master Average
## 566 0 Master Good
## 579 4 High School Average
## 581 5 Master Average
## 582 3 High School Average
## 587 3 High School Poor
## 600 0 High School Poor
## 602 0 High School Good
## 605 4 Master Good
## 606 6 Bachelor Good
## 611 2 Master Good
## 614 3 Bachelor Average
## 617 1 Bachelor Good
## 618 5 High School Poor
## 622 0 Master Good
## 628 2 Bachelor Average
## 629 4 Master Good
## 630 6 High School Good
## 632 6 Master Good
## 633 1 Bachelor Poor
## 635 5 High School Average
## 642 6 Bachelor Poor
## 647 2 High School Average
## 648 6 None Average
## 654 1 High School Good
## 659 3 Master Good
## 661 2 High School Good
## 663 4 None Average
## 664 4 High School Good
## 666 2 High School Average
## 669 2 Bachelor Good
## 670 1 Bachelor Good
## 673 2 Bachelor Good
## 676 1 Bachelor Good
## 678 3 None Good
## 681 6 None Good
## 684 4 High School Good
## 688 5 Master Average
## 690 6 None Good
## 691 1 High School Average
## 696 4 Bachelor Good
## 700 3 Bachelor Average
## 701 0 Bachelor Poor
## 705 6 High School Good
## 712 4 High School Average
## 714 1 Bachelor Good
## 715 0 Bachelor Good
## 725 4 High School Average
## 727 6 Bachelor Poor
## 734 2 Bachelor Good
## 735 4 Bachelor Good
## 738 0 High School Average
## 740 6 Bachelor Good
## 741 3 None Average
## 743 4 Bachelor Average
## 746 2 Master Average
## 759 1 High School Good
## 769 1 High School Poor
## 786 3 None Average
## 795 5 Bachelor Average
## 804 0 Bachelor Good
## 811 1 High School Average
## 813 0 Bachelor Good
## 815 3 High School Average
## 817 1 High School Average
## 824 4 High School Good
## 830 3 None Good
## 831 5 Bachelor Good
## 832 5 High School Average
## 835 2 High School Poor
## 841 3 High School Good
## 843 1 Bachelor Average
## 847 3 Bachelor Good
## 848 0 Bachelor Good
## 849 3 High School Poor
## 852 5 Bachelor Good
## 854 6 Master Good
## 857 2 High School Poor
## 869 6 Master Good
## 870 4 Master Average
## 873 3 None Average
## 877 4 High School Good
## 884 6 High School Average
## 888 5 None Poor
## 894 5 Bachelor Good
## 898 1 High School Good
## 899 1 Master Average
## 902 6 High School Good
## 905 1 High School Poor
## 915 6 Bachelor Poor
## 917 1 High School Good
## 944 2 High School Poor
## 950 4 Bachelor Good
## 962 2 Master Good
## 968 0 None Good
## 975 3 Bachelor Poor
## 977 0 Bachelor Good
## 981 6 High School Good
## 985 6 High School Average
## 986 2 Master Good
## 993 3 Bachelor Poor
## 994 1 High School Good
## 999 0 Bachelor Average
## 1000 2 Bachelor Average
## mental_health_rating extracurricular_participation exam_score
## 9 1 No 78.9
## 13 9 No 76.9
## 14 10 No 75.8
## 15 9 No 78.9
## 16 7 No 74.0
## 18 1 Yes 70.8
## 22 3 No 82.5
## 27 4 No 73.5
## 28 3 No 71.1
## 30 10 Yes 75.7
## 34 5 No 70.7
## 36 3 No 72.6
## 41 2 No 69.7
## 46 5 Yes 75.1
## 47 9 Yes 71.0
## 54 7 Yes 70.6
## 58 7 Yes 75.2
## 62 5 No 75.0
## 69 6 No 82.1
## 75 1 No 66.9
## 79 5 No 77.3
## 87 6 No 79.2
## 89 4 No 73.4
## 94 5 No 70.2
## 98 6 No 80.9
## 105 7 No 74.3
## 107 4 Yes 82.3
## 110 2 No 77.5
## 112 3 No 76.9
## 115 1 No 83.3
## 116 9 No 82.7
## 118 8 No 80.8
## 124 4 No 77.0
## 131 10 No 81.6
## 133 5 Yes 74.0
## 134 2 Yes 78.4
## 136 8 No 74.3
## 140 6 No 83.5
## 147 9 No 75.5
## 149 7 No 85.2
## 150 5 No 75.4
## 152 6 No 69.7
## 160 9 No 77.9
## 164 5 No 70.6
## 168 7 No 72.2
## 177 5 Yes 77.5
## 181 5 No 69.2
## 184 4 Yes 85.7
## 188 4 No 73.8
## 193 6 No 69.4
## 194 6 No 81.3
## 201 7 No 81.9
## 209 10 No 75.8
## 221 10 No 82.1
## 225 6 No 72.7
## 229 8 Yes 72.6
## 232 8 No 73.1
## 239 4 Yes 74.2
## 261 8 No 70.9
## 269 9 No 76.1
## 270 8 No 85.6
## 278 3 No 71.4
## 281 6 No 73.8
## 283 10 No 79.7
## 291 8 No 75.9
## 293 6 Yes 74.2
## 303 9 No 74.5
## 308 5 No 75.4
## 310 3 Yes 73.3
## 313 4 No 70.1
## 314 4 No 84.2
## 324 10 No 70.2
## 325 2 No 84.2
## 334 10 No 72.3
## 340 4 Yes 77.9
## 346 4 No 71.6
## 347 2 Yes 73.7
## 348 3 No 77.0
## 349 3 No 72.3
## 352 6 No 70.4
## 356 10 No 81.1
## 361 6 No 81.0
## 362 9 Yes 84.9
## 363 5 No 67.9
## 366 3 No 76.0
## 369 8 No 71.0
## 370 5 No 70.9
## 384 9 Yes 71.0
## 388 9 Yes 82.9
## 389 4 Yes 73.2
## 390 8 No 79.6
## 392 3 No 72.6
## 396 8 No 77.8
## 398 10 Yes 71.9
## 404 6 No 74.9
## 411 1 No 78.0
## 415 5 Yes 78.7
## 416 4 Yes 68.3
## 425 10 No 73.0
## 426 2 Yes 71.1
## 427 8 No 80.9
## 441 5 No 76.1
## 450 8 Yes 74.0
## 460 7 No 77.9
## 461 5 No 72.3
## 474 5 No 80.6
## 478 8 No 84.0
## 487 3 No 69.4
## 497 7 No 73.9
## 498 5 No 80.3
## 499 8 No 71.7
## 502 5 No 74.9
## 509 1 Yes 76.6
## 516 6 Yes 82.5
## 517 5 Yes 80.9
## 519 5 No 79.6
## 520 7 No 71.2
## 526 4 No 84.1
## 531 8 Yes 80.9
## 535 8 No 82.5
## 540 6 Yes 81.0
## 541 6 Yes 74.7
## 544 2 No 77.1
## 545 7 No 87.9
## 556 10 Yes 83.4
## 557 6 No 79.0
## 558 7 Yes 69.9
## 561 9 No 79.8
## 564 2 No 70.1
## 566 6 No 79.3
## 579 3 No 77.2
## 581 4 No 73.0
## 582 3 No 68.5
## 587 7 Yes 83.5
## 600 6 No 77.3
## 602 5 Yes 80.2
## 605 8 Yes 72.8
## 606 8 No 67.6
## 611 3 No 69.6
## 614 9 No 85.7
## 617 10 No 79.3
## 618 5 No 71.3
## 622 2 No 70.7
## 628 9 No 78.3
## 629 2 Yes 70.7
## 630 1 No 82.6
## 632 10 No 80.9
## 633 9 Yes 75.4
## 635 8 No 76.8
## 642 6 No 74.7
## 647 3 No 68.4
## 648 4 No 84.2
## 654 8 No 82.6
## 659 8 No 74.8
## 661 9 Yes 79.5
## 663 8 Yes 76.3
## 664 6 No 75.6
## 666 9 No 75.3
## 669 10 No 76.4
## 670 9 No 69.9
## 673 3 No 69.4
## 676 6 No 82.2
## 678 5 No 73.8
## 681 4 No 70.4
## 684 4 No 77.2
## 688 9 No 71.6
## 690 2 No 72.4
## 691 6 No 70.5
## 696 8 No 68.5
## 700 9 No 77.8
## 701 6 Yes 67.7
## 705 2 Yes 76.3
## 712 7 No 70.9
## 714 8 No 83.3
## 715 1 Yes 80.6
## 725 4 Yes 70.5
## 727 7 Yes 77.4
## 734 6 No 70.6
## 735 5 No 75.2
## 738 1 Yes 72.7
## 740 9 Yes 74.1
## 741 4 Yes 79.0
## 743 1 Yes 71.0
## 746 4 No 74.0
## 759 10 Yes 75.4
## 769 4 No 74.0
## 786 8 No 68.4
## 795 7 No 80.3
## 804 6 Yes 76.3
## 811 10 No 80.7
## 813 1 No 70.6
## 815 7 No 75.1
## 817 9 No 80.6
## 824 1 No 85.4
## 830 8 Yes 73.2
## 831 5 No 83.5
## 832 1 Yes 77.6
## 835 6 Yes 81.1
## 841 6 Yes 80.0
## 843 10 No 71.4
## 847 5 Yes 75.5
## 848 9 No 73.5
## 849 6 No 74.6
## 852 8 No 67.4
## 854 10 Yes 68.4
## 857 6 Yes 81.5
## 869 2 No 77.8
## 870 10 No 74.6
## 873 4 No 78.4
## 877 10 No 83.1
## 884 4 No 75.5
## 888 9 No 75.9
## 894 2 No 67.7
## 898 1 Yes 70.8
## 899 10 No 75.7
## 902 3 Yes 71.4
## 905 1 Yes 73.0
## 915 10 No 72.9
## 917 7 No 69.1
## 944 3 No 72.0
## 950 4 No 84.5
## 962 10 No 81.1
## 968 6 No 76.1
## 975 7 No 70.9
## 977 10 Yes 77.4
## 981 10 Yes 81.0
## 985 7 No 82.4
## 986 3 Yes 80.9
## 993 3 No 71.8
## 994 7 No 70.9
## 999 1 No 69.7
## 1000 8 No 74.9
siswa[which(siswa2$cluster == 4),]
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 8 S1007 21 Female 4.3 1.0 2.0
## 11 S1010 19 Female 4.6 3.7 0.8
## 12 S1011 23 Male 3.9 2.4 2.5
## 26 S1025 22 Male 4.9 4.3 3.3
## 31 S1030 21 Female 3.7 0.6 1.3
## 37 S1036 20 Female 3.5 3.0 2.6
## 38 S1037 17 Male 4.3 2.5 0.0
## 39 S1038 17 Male 3.8 1.7 1.4
## 40 S1039 19 Male 5.5 3.1 2.3
## 44 S1043 24 Female 4.3 0.9 3.2
## 45 S1044 20 Female 3.6 1.4 0.8
## 55 S1054 23 Female 3.1 1.9 2.6
## 64 S1063 17 Male 4.1 2.3 2.6
## 65 S1064 23 Male 3.2 1.7 2.1
## 66 S1065 18 Female 3.3 4.1 0.7
## 67 S1066 20 Male 3.6 4.2 0.9
## 73 S1072 17 Male 3.4 0.1 0.6
## 81 S1080 23 Male 2.9 2.6 1.8
## 91 S1090 24 Male 4.0 2.3 2.5
## 95 S1094 22 Female 5.3 1.0 2.2
## 102 S1101 18 Male 3.6 3.0 1.9
## 108 S1107 20 Male 2.1 2.9 1.4
## 111 S1110 24 Male 5.1 2.9 1.6
## 119 S1118 24 Female 3.8 3.3 1.9
## 120 S1119 21 Female 3.0 3.1 2.4
## 135 S1134 23 Male 3.6 1.5 0.5
## 138 S1137 17 Male 3.1 4.2 0.8
## 145 S1144 24 Male 4.3 4.9 3.0
## 148 S1147 19 Female 3.5 2.3 2.2
## 154 S1153 19 Female 4.3 3.1 0.7
## 155 S1154 21 Male 3.5 3.3 1.4
## 157 S1156 23 Male 1.9 3.5 1.7
## 162 S1161 17 Other 4.3 3.4 0.8
## 173 S1172 19 Male 3.2 0.7 3.5
## 175 S1174 24 Male 3.7 3.6 3.3
## 178 S1177 19 Male 3.0 2.6 1.6
## 182 S1181 23 Male 3.5 3.0 1.5
## 183 S1182 22 Male 4.2 3.1 0.7
## 205 S1204 20 Male 5.3 1.7 1.0
## 216 S1215 21 Female 3.2 4.2 0.7
## 226 S1225 18 Female 3.9 1.6 1.2
## 234 S1233 20 Female 3.7 1.7 1.7
## 236 S1235 20 Female 3.8 0.8 0.3
## 242 S1241 23 Male 4.3 2.7 2.4
## 250 S1249 19 Female 3.1 1.1 4.1
## 255 S1254 17 Male 2.5 3.7 1.2
## 258 S1257 22 Female 3.9 2.9 2.0
## 260 S1259 19 Female 4.3 0.9 1.2
## 272 S1271 24 Female 4.7 1.3 3.3
## 273 S1272 24 Male 4.8 2.5 2.4
## 276 S1275 20 Male 3.9 2.1 2.8
## 290 S1289 24 Female 3.5 1.7 1.3
## 301 S1300 17 Female 3.3 2.6 3.7
## 312 S1311 23 Female 2.6 5.3 1.7
## 317 S1316 19 Female 3.3 2.2 2.9
## 318 S1317 17 Male 4.1 4.2 0.0
## 319 S1318 23 Male 2.2 0.9 3.1
## 320 S1319 22 Male 2.8 3.3 3.3
## 322 S1321 21 Male 2.9 4.6 0.0
## 326 S1325 22 Female 4.9 3.5 1.2
## 333 S1332 20 Male 2.7 1.9 2.3
## 339 S1338 20 Female 5.0 3.4 1.6
## 341 S1340 19 Male 4.7 3.2 3.1
## 358 S1357 24 Male 4.4 0.0 2.3
## 373 S1372 18 Female 4.0 3.2 1.7
## 374 S1373 24 Male 3.3 1.4 0.4
## 377 S1376 20 Female 4.3 3.7 2.5
## 379 S1378 18 Male 1.7 1.0 1.7
## 381 S1380 24 Male 3.5 1.6 2.2
## 386 S1385 24 Male 4.2 3.0 2.1
## 391 S1390 19 Female 3.3 0.6 1.2
## 399 S1398 24 Male 5.7 2.9 1.7
## 407 S1406 22 Female 3.6 1.3 2.1
## 408 S1407 24 Male 4.3 3.3 3.0
## 412 S1411 24 Male 1.6 0.8 3.2
## 413 S1412 22 Female 3.9 2.1 2.2
## 421 S1420 18 Female 3.8 2.9 4.1
## 428 S1427 20 Female 2.9 2.3 0.8
## 430 S1429 20 Male 3.6 2.4 1.4
## 433 S1432 21 Other 4.2 2.4 4.3
## 436 S1435 24 Male 2.0 0.0 3.1
## 437 S1436 24 Male 4.4 1.8 0.7
## 442 S1441 24 Female 5.6 3.2 1.0
## 444 S1443 24 Female 2.3 1.1 1.8
## 445 S1444 20 Male 2.8 1.8 2.7
## 446 S1445 19 Male 2.1 2.3 0.9
## 452 S1451 22 Female 1.2 1.1 1.9
## 454 S1453 22 Female 3.4 2.5 2.2
## 459 S1458 19 Male 2.9 3.0 3.1
## 463 S1462 22 Male 4.9 2.6 0.0
## 469 S1468 21 Female 3.6 2.0 0.1
## 471 S1470 21 Female 4.2 2.9 2.5
## 482 S1481 22 Female 5.6 2.2 1.6
## 483 S1482 21 Male 3.4 1.5 0.7
## 484 S1483 22 Male 4.2 1.7 1.8
## 486 S1485 22 Female 4.1 1.6 0.6
## 493 S1492 17 Male 3.8 3.1 2.3
## 494 S1493 22 Female 3.0 3.7 0.9
## 495 S1494 21 Male 4.0 1.7 2.0
## 505 S1504 23 Female 5.4 3.1 3.1
## 506 S1505 17 Female 3.5 0.9 0.4
## 514 S1513 22 Male 2.1 1.9 2.7
## 521 S1520 24 Female 4.1 3.3 0.6
## 529 S1528 18 Male 3.9 3.4 3.2
## 543 S1542 19 Male 4.5 4.9 0.8
## 549 S1548 18 Female 3.3 2.1 2.3
## 560 S1559 22 Female 2.8 2.6 1.7
## 562 S1561 19 Other 3.1 1.9 3.7
## 571 S1570 22 Male 3.2 4.0 2.7
## 572 S1571 19 Male 3.0 4.5 0.9
## 583 S1582 20 Male 3.6 2.6 2.2
## 584 S1583 18 Female 5.2 3.2 2.0
## 586 S1585 23 Male 3.9 2.1 1.6
## 588 S1587 19 Male 4.3 1.1 2.0
## 589 S1588 20 Other 3.8 3.0 3.4
## 590 S1589 21 Male 5.0 2.3 0.2
## 603 S1602 20 Female 3.6 3.6 0.9
## 610 S1609 24 Male 4.3 2.3 1.2
## 613 S1612 20 Male 2.6 2.3 0.9
## 625 S1624 21 Female 3.6 1.9 2.3
## 627 S1626 21 Male 3.0 1.6 2.1
## 638 S1637 23 Female 2.3 0.4 2.0
## 640 S1639 24 Female 3.5 2.9 0.7
## 652 S1651 24 Female 3.7 1.7 2.3
## 655 S1654 22 Female 3.1 4.7 0.4
## 660 S1659 18 Male 2.0 0.2 0.5
## 672 S1671 22 Other 3.8 1.4 1.2
## 680 S1679 18 Female 3.2 2.3 1.5
## 686 S1685 22 Female 2.0 1.2 2.7
## 687 S1686 22 Female 5.4 1.8 3.0
## 699 S1698 18 Female 3.9 3.9 1.0
## 707 S1706 20 Female 5.0 1.5 2.2
## 710 S1709 24 Other 2.9 4.0 2.9
## 720 S1719 20 Male 2.3 2.3 1.6
## 726 S1725 21 Female 3.9 1.9 2.4
## 728 S1727 19 Male 4.1 4.2 1.6
## 730 S1729 20 Male 3.5 3.0 2.7
## 733 S1732 17 Male 2.8 3.4 0.9
## 737 S1736 20 Female 3.1 0.0 3.3
## 739 S1738 21 Other 4.3 2.2 2.3
## 744 S1743 21 Female 4.1 2.9 0.8
## 750 S1749 18 Female 3.7 4.0 1.0
## 753 S1752 18 Male 4.5 1.6 2.9
## 756 S1755 22 Male 2.7 4.7 1.7
## 762 S1761 18 Female 4.6 3.4 2.0
## 768 S1767 24 Male 3.1 2.8 2.3
## 773 S1772 17 Female 2.8 1.4 2.8
## 784 S1783 20 Male 3.0 2.3 0.0
## 788 S1787 24 Male 3.5 0.0 2.3
## 790 S1789 23 Male 3.4 0.5 0.4
## 806 S1805 20 Female 3.6 2.2 2.2
## 808 S1807 17 Female 3.3 1.8 0.0
## 814 S1813 20 Female 3.8 4.9 1.9
## 820 S1819 17 Male 4.1 2.7 0.6
## 834 S1833 20 Other 4.6 2.2 2.6
## 838 S1837 21 Female 2.2 1.0 1.4
## 840 S1839 21 Male 2.4 2.3 2.2
## 846 S1845 21 Male 3.8 0.9 2.5
## 853 S1852 21 Male 2.3 1.0 0.7
## 855 S1854 23 Female 4.7 1.8 1.7
## 856 S1855 21 Female 3.2 3.7 1.2
## 871 S1870 21 Other 4.7 0.0 2.7
## 872 S1871 24 Male 2.0 1.7 0.2
## 879 S1878 21 Male 3.5 1.3 1.8
## 883 S1882 19 Other 2.7 1.8 0.0
## 887 S1886 17 Female 3.5 3.9 2.6
## 889 S1888 20 Other 3.0 3.0 1.7
## 890 S1889 17 Male 3.7 3.9 2.2
## 897 S1896 22 Male 2.8 1.8 3.4
## 901 S1900 21 Male 4.8 2.9 2.6
## 903 S1902 22 Male 4.1 2.4 0.8
## 904 S1903 23 Female 3.3 1.9 2.2
## 908 S1907 19 Female 3.3 2.5 2.1
## 910 S1909 22 Female 4.9 3.3 3.0
## 918 S1917 20 Male 5.3 3.2 0.0
## 919 S1918 20 Male 3.3 2.8 1.4
## 920 S1919 24 Female 2.8 2.2 1.5
## 921 S1920 21 Male 3.5 3.9 2.5
## 929 S1928 22 Female 2.8 0.2 3.1
## 932 S1931 20 Female 4.0 3.4 3.4
## 933 S1932 17 Female 4.4 2.4 1.7
## 940 S1939 18 Female 4.7 3.2 1.9
## 941 S1940 20 Other 4.1 1.7 0.1
## 945 S1944 21 Female 1.7 1.6 1.7
## 948 S1947 24 Female 4.5 3.2 3.3
## 949 S1948 22 Female 3.0 3.0 1.6
## 953 S1952 21 Female 3.6 2.1 3.5
## 957 S1956 20 Female 3.2 2.3 1.5
## 966 S1965 17 Male 4.3 3.4 0.6
## 969 S1968 22 Female 4.6 2.6 1.0
## 972 S1971 23 Female 3.5 2.5 1.8
## 974 S1973 19 Male 4.4 4.3 3.2
## 982 S1981 24 Male 3.6 0.0 3.6
## 984 S1983 21 Male 3.9 1.8 2.1
## 989 S1988 18 Male 3.3 2.4 1.2
## 996 S1995 21 Female 2.6 0.5 1.6
## 998 S1997 20 Male 3.0 2.6 1.3
## part_time_job attendance_percentage sleep_hours diet_quality
## 8 Yes 77.7 4.6 Fair
## 11 No 77.6 5.8 Fair
## 12 No 71.7 7.9 Fair
## 26 No 74.7 9.0 Fair
## 31 No 75.6 7.5 Fair
## 37 No 74.9 7.3 Fair
## 38 Yes 64.1 3.9 Good
## 39 No 70.3 7.0 Poor
## 40 No 71.3 5.7 Good
## 44 No 62.8 7.1 Poor
## 45 No 73.0 5.3 Good
## 55 Yes 64.0 7.1 Fair
## 64 Yes 76.5 5.1 Fair
## 65 No 80.8 5.2 Good
## 66 No 80.5 5.7 Poor
## 67 No 67.0 5.4 Good
## 73 No 77.7 7.9 Fair
## 81 No 64.0 9.1 Good
## 91 No 74.7 7.8 Fair
## 95 No 72.6 4.5 Fair
## 102 No 78.1 4.5 Good
## 108 No 76.9 6.1 Fair
## 111 No 64.3 6.5 Fair
## 119 No 72.8 6.9 Poor
## 120 Yes 73.8 8.3 Fair
## 135 No 73.2 7.2 Fair
## 138 No 69.4 7.0 Good
## 145 No 75.1 8.4 Fair
## 148 No 74.3 6.7 Fair
## 154 No 77.9 6.5 Good
## 155 No 66.8 7.4 Fair
## 157 Yes 71.1 6.3 Fair
## 162 No 73.8 6.6 Good
## 173 No 74.3 7.1 Good
## 175 Yes 80.2 7.7 Good
## 178 No 71.0 5.5 Fair
## 182 Yes 79.1 5.5 Good
## 183 No 69.2 7.2 Good
## 205 No 79.3 5.9 Fair
## 216 No 76.5 5.4 Good
## 226 No 64.3 7.5 Good
## 234 No 73.7 7.0 Fair
## 236 No 72.3 6.7 Fair
## 242 Yes 66.5 5.0 Fair
## 250 No 65.4 5.6 Good
## 255 Yes 78.6 7.8 Good
## 258 No 79.1 7.6 Fair
## 260 No 80.7 6.3 Fair
## 272 Yes 79.9 6.7 Good
## 273 Yes 74.7 6.4 Good
## 276 No 74.2 6.7 Fair
## 290 No 74.3 6.1 Good
## 301 No 71.0 5.7 Poor
## 312 Yes 69.4 7.3 Good
## 317 Yes 80.3 9.7 Good
## 318 No 70.2 6.9 Good
## 319 No 76.8 6.0 Fair
## 320 No 73.7 3.9 Good
## 322 Yes 77.6 4.9 Good
## 326 No 77.2 7.4 Good
## 333 No 71.6 7.7 Fair
## 339 Yes 80.9 6.0 Good
## 341 Yes 70.3 7.6 Fair
## 358 No 75.8 7.0 Fair
## 373 No 77.4 6.4 Fair
## 374 No 75.2 6.5 Poor
## 377 No 76.9 5.0 Poor
## 379 No 78.4 7.8 Good
## 381 No 69.9 9.3 Good
## 386 No 73.0 6.5 Poor
## 391 Yes 79.8 5.9 Good
## 399 No 77.3 6.4 Good
## 407 No 68.0 6.3 Poor
## 408 No 79.4 6.3 Fair
## 412 Yes 63.0 8.0 Good
## 413 No 65.0 5.1 Good
## 421 Yes 68.7 9.1 Fair
## 428 Yes 75.7 7.3 Fair
## 430 No 70.0 8.6 Fair
## 433 No 80.1 5.5 Fair
## 436 No 73.7 6.3 Good
## 437 No 74.0 7.8 Good
## 442 No 62.5 6.6 Fair
## 444 Yes 79.4 6.6 Fair
## 445 No 79.1 9.0 Poor
## 446 No 78.8 4.8 Good
## 452 No 69.9 4.8 Poor
## 454 No 63.2 7.4 Poor
## 459 No 70.9 5.4 Good
## 463 Yes 66.1 7.6 Poor
## 469 No 76.5 7.1 Good
## 471 No 69.7 6.4 Fair
## 482 No 65.2 8.3 Good
## 483 No 79.3 7.1 Fair
## 484 No 73.2 6.2 Fair
## 486 No 73.1 5.5 Fair
## 493 No 77.3 8.1 Good
## 494 No 67.3 5.9 Poor
## 495 No 78.1 5.7 Fair
## 505 No 79.0 4.2 Fair
## 506 No 78.7 6.3 Fair
## 514 Yes 70.9 6.9 Good
## 521 Yes 78.7 5.1 Good
## 529 No 65.3 5.1 Fair
## 543 No 80.2 6.2 Good
## 549 No 61.2 7.3 Poor
## 560 No 72.2 7.0 Fair
## 562 No 78.5 7.9 Good
## 571 No 74.5 8.0 Good
## 572 No 59.7 7.1 Fair
## 583 No 72.6 3.3 Fair
## 584 No 70.0 6.9 Fair
## 586 No 78.4 6.4 Good
## 588 No 78.9 7.5 Good
## 589 No 76.4 7.8 Fair
## 590 No 78.9 6.8 Poor
## 603 No 72.7 5.9 Poor
## 610 No 68.3 6.1 Poor
## 613 No 80.1 7.0 Fair
## 625 No 74.5 6.1 Good
## 627 No 78.8 6.3 Good
## 638 No 81.3 5.9 Fair
## 640 No 65.4 7.9 Poor
## 652 Yes 57.6 6.2 Good
## 655 No 79.5 6.2 Good
## 660 No 67.6 8.1 Good
## 672 No 81.2 6.7 Good
## 680 No 59.5 6.5 Good
## 686 No 67.2 6.7 Poor
## 687 Yes 75.6 6.9 Fair
## 699 No 77.2 5.6 Fair
## 707 No 56.7 5.5 Poor
## 710 No 67.6 8.7 Poor
## 720 Yes 76.9 8.7 Fair
## 726 No 75.8 5.7 Good
## 728 No 70.2 3.3 Good
## 730 No 70.6 5.4 Fair
## 733 No 67.7 7.0 Poor
## 737 No 78.6 6.9 Fair
## 739 No 71.8 7.6 Fair
## 744 Yes 80.0 5.8 Good
## 750 No 70.1 6.7 Good
## 753 Yes 72.3 4.4 Good
## 756 Yes 67.5 5.7 Poor
## 762 No 77.5 7.9 Good
## 768 No 79.0 4.8 Poor
## 773 No 77.3 8.3 Poor
## 784 No 66.0 7.5 Good
## 788 No 79.0 3.5 Fair
## 790 No 72.9 7.9 Fair
## 806 No 75.1 6.0 Fair
## 808 No 70.3 4.7 Poor
## 814 No 75.2 6.3 Poor
## 820 No 74.6 3.6 Fair
## 834 No 68.8 5.7 Poor
## 838 No 76.6 5.1 Poor
## 840 No 72.0 7.5 Good
## 846 No 78.2 6.5 Poor
## 853 No 67.5 5.2 Good
## 855 No 68.7 6.4 Fair
## 856 No 59.9 6.0 Fair
## 871 Yes 62.0 5.4 Good
## 872 Yes 81.4 7.3 Poor
## 879 Yes 60.6 4.8 Fair
## 883 No 72.5 6.5 Fair
## 887 No 73.9 5.5 Fair
## 889 Yes 79.0 7.4 Fair
## 890 Yes 68.3 5.8 Fair
## 897 Yes 74.0 5.1 Good
## 901 No 66.0 7.6 Poor
## 903 No 72.7 5.8 Fair
## 904 No 79.1 6.2 Fair
## 908 No 63.8 5.5 Fair
## 910 No 79.5 7.0 Fair
## 918 No 75.2 4.4 Good
## 919 Yes 71.2 6.5 Poor
## 920 No 67.0 8.5 Good
## 921 Yes 62.8 6.7 Good
## 929 No 79.3 6.5 Good
## 932 Yes 78.0 5.5 Poor
## 933 No 78.5 5.9 Fair
## 940 No 75.2 5.4 Good
## 941 Yes 68.8 7.2 Good
## 945 No 61.0 6.7 Fair
## 948 Yes 70.0 6.3 Good
## 949 No 70.2 6.7 Fair
## 953 Yes 62.3 5.7 Poor
## 957 No 71.0 5.0 Good
## 966 No 59.8 6.6 Fair
## 969 No 76.1 6.1 Good
## 972 No 56.0 6.1 Good
## 974 No 76.0 5.4 Good
## 982 No 66.3 9.6 Fair
## 984 No 74.0 6.5 Poor
## 989 No 67.5 4.1 Fair
## 996 No 77.0 7.5 Fair
## 998 No 61.9 6.5 Good
## exercise_frequency parental_education_level internet_quality
## 8 0 Bachelor Average
## 11 1 None Good
## 12 2 Bachelor Average
## 26 1 High School Average
## 31 2 Master Average
## 37 3 High School Good
## 38 0 High School Average
## 39 0 Bachelor Good
## 40 1 High School Average
## 44 0 Bachelor Good
## 45 4 High School Poor
## 55 5 High School Good
## 64 3 Bachelor Average
## 65 3 High School Poor
## 66 0 Master Good
## 67 4 Bachelor Average
## 73 1 High School Average
## 81 6 High School Good
## 91 6 Bachelor Good
## 95 0 High School Average
## 102 6 Bachelor Average
## 108 4 None Average
## 111 3 Bachelor Average
## 119 3 Bachelor Good
## 120 4 High School Average
## 135 2 Bachelor Good
## 138 6 Bachelor Poor
## 145 5 Master Good
## 148 3 Bachelor Poor
## 154 0 None Average
## 155 1 Bachelor Good
## 157 0 High School Good
## 162 6 High School Average
## 173 5 High School Good
## 175 5 High School Poor
## 178 0 Master Average
## 182 0 Bachelor Average
## 183 1 Master Poor
## 205 0 Bachelor Good
## 216 6 High School Good
## 226 0 Master Average
## 234 3 Master Poor
## 236 1 High School Poor
## 242 5 Bachelor Poor
## 250 3 High School Good
## 255 6 Bachelor Average
## 258 3 Master Good
## 260 4 Master Good
## 272 1 Master Good
## 273 6 High School Good
## 276 5 Bachelor Average
## 290 1 High School Good
## 301 6 High School Good
## 312 5 Bachelor Average
## 317 0 High School Poor
## 318 1 High School Average
## 319 6 High School Poor
## 320 4 Master Average
## 322 3 Bachelor Good
## 326 0 High School Good
## 333 3 High School Poor
## 339 2 Bachelor Average
## 341 5 Bachelor Good
## 358 2 Bachelor Average
## 373 6 High School Good
## 374 0 Bachelor Good
## 377 3 None Good
## 379 6 Bachelor Good
## 381 0 Bachelor Average
## 386 4 Bachelor Poor
## 391 2 High School Good
## 399 0 Master Good
## 407 2 Bachelor Good
## 408 5 High School Poor
## 412 3 High School Good
## 413 2 High School Average
## 421 4 Master Good
## 428 5 Bachelor Good
## 430 2 Bachelor Average
## 433 0 Master Good
## 436 6 High School Average
## 437 4 High School Good
## 442 4 Bachelor Average
## 444 3 Master Good
## 445 4 Master Average
## 446 3 Bachelor Poor
## 452 4 Master Poor
## 454 1 Master Good
## 459 5 Master Good
## 463 3 Bachelor Good
## 469 0 Bachelor Good
## 471 1 High School Good
## 482 0 Master Poor
## 483 1 None Poor
## 484 3 Bachelor Poor
## 486 5 High School Good
## 493 2 High School Good
## 494 5 Bachelor Average
## 495 3 High School Good
## 505 1 Bachelor Good
## 506 3 None Average
## 514 3 High School Good
## 521 2 Bachelor Good
## 529 6 High School Average
## 543 1 Bachelor Poor
## 549 6 High School Poor
## 560 6 High School Good
## 562 0 Bachelor Good
## 571 6 Master Good
## 572 1 Master Good
## 583 1 High School Good
## 584 2 Bachelor Poor
## 586 3 High School Good
## 588 4 Master Average
## 589 1 High School Average
## 590 6 Bachelor Good
## 603 2 None Average
## 610 5 High School Poor
## 613 0 Master Good
## 625 5 Bachelor Average
## 627 6 Bachelor Good
## 638 6 None Good
## 640 3 High School Good
## 652 0 Master Average
## 655 4 Master Good
## 660 4 Bachelor Average
## 672 2 High School Average
## 680 2 Bachelor Good
## 686 6 Bachelor Average
## 687 0 High School Average
## 699 4 High School Poor
## 707 2 Master Average
## 710 4 High School Good
## 720 0 High School Good
## 726 2 Bachelor Average
## 728 2 High School Good
## 730 5 High School Good
## 733 3 Master Average
## 737 0 Bachelor Average
## 739 2 High School Good
## 744 6 High School Good
## 750 0 Bachelor Poor
## 753 3 High School Good
## 756 2 Master Good
## 762 0 Bachelor Good
## 768 0 Bachelor Average
## 773 5 Master Poor
## 784 2 High School Good
## 788 3 Bachelor Good
## 790 4 Bachelor Good
## 806 3 Bachelor Average
## 808 2 High School Average
## 814 5 High School Average
## 820 0 Bachelor Good
## 834 6 Bachelor Good
## 838 2 High School Poor
## 840 6 Master Average
## 846 6 High School Average
## 853 6 Bachelor Good
## 855 2 High School Average
## 856 6 High School Good
## 871 1 High School Good
## 872 3 Master Good
## 879 4 Bachelor Good
## 883 4 Bachelor Poor
## 887 4 High School Good
## 889 4 Bachelor Good
## 890 0 High School Good
## 897 6 High School Average
## 901 0 Master Average
## 903 3 Master Good
## 904 4 High School Average
## 908 1 High School Average
## 910 5 Bachelor Average
## 918 5 High School Good
## 919 5 Bachelor Average
## 920 3 High School Good
## 921 3 None Good
## 929 5 High School Average
## 932 3 Bachelor Average
## 933 0 Bachelor Average
## 940 3 None Good
## 941 0 Master Average
## 945 5 Bachelor Good
## 948 0 High School Good
## 949 2 Master Good
## 953 1 High School Average
## 957 6 High School Good
## 966 5 Master Average
## 969 3 High School Average
## 972 5 High School Average
## 974 4 Master Good
## 982 3 Bachelor Average
## 984 2 Master Average
## 989 4 Bachelor Average
## 996 2 High School Good
## 998 5 Bachelor Good
## mental_health_rating extracurricular_participation exam_score
## 8 8 No 72.6
## 11 3 No 63.3
## 12 1 No 74.4
## 26 2 Yes 69.9
## 31 5 No 70.6
## 37 4 No 70.7
## 38 2 No 59.4
## 39 1 No 58.1
## 40 3 No 82.3
## 44 2 No 65.7
## 45 9 No 78.5
## 55 10 No 68.1
## 64 9 No 77.6
## 65 4 Yes 68.6
## 66 8 No 69.6
## 67 8 No 66.5
## 73 4 Yes 77.1
## 81 8 No 70.7
## 91 1 No 77.8
## 95 8 No 81.3
## 102 6 No 74.0
## 108 7 No 60.4
## 111 9 Yes 86.5
## 119 2 Yes 58.3
## 120 7 No 66.3
## 135 3 No 70.7
## 138 2 No 64.7
## 145 9 Yes 74.0
## 148 5 Yes 78.1
## 154 6 No 81.4
## 155 3 No 65.0
## 157 8 No 57.7
## 162 7 No 76.8
## 173 5 No 68.3
## 175 2 No 69.3
## 178 7 Yes 55.0
## 182 9 No 67.4
## 183 10 No 79.9
## 205 3 Yes 78.4
## 216 5 Yes 67.5
## 226 9 Yes 74.3
## 234 10 Yes 80.8
## 236 3 No 71.5
## 242 3 No 60.6
## 250 10 Yes 58.4
## 255 9 No 78.8
## 258 7 No 71.0
## 260 1 No 72.6
## 272 1 No 73.6
## 273 1 No 76.2
## 276 6 No 77.8
## 290 7 Yes 73.5
## 301 4 Yes 61.6
## 312 10 No 67.0
## 317 9 No 76.1
## 318 8 Yes 80.4
## 319 7 No 64.1
## 320 5 Yes 59.4
## 322 9 Yes 67.8
## 326 4 No 75.4
## 333 8 No 71.2
## 339 1 Yes 67.7
## 341 2 No 80.3
## 358 1 No 81.9
## 373 3 No 68.4
## 374 7 Yes 72.9
## 377 4 No 65.7
## 379 6 No 63.6
## 381 6 No 67.7
## 386 2 No 64.2
## 391 10 No 73.0
## 399 2 Yes 69.1
## 407 10 Yes 82.4
## 408 6 Yes 67.3
## 412 10 No 58.2
## 413 9 No 73.7
## 421 3 No 70.8
## 428 8 No 75.1
## 430 7 No 67.6
## 433 9 No 70.7
## 436 3 Yes 58.3
## 437 2 Yes 78.4
## 442 8 No 82.7
## 444 6 No 66.8
## 445 1 Yes 64.9
## 446 10 No 63.1
## 452 7 No 58.6
## 454 4 No 63.4
## 459 3 No 59.0
## 463 4 No 80.9
## 469 2 Yes 66.8
## 471 1 No 60.4
## 482 7 No 84.6
## 483 1 No 67.0
## 484 2 No 76.0
## 486 1 No 77.5
## 493 6 No 67.8
## 494 10 No 73.9
## 495 5 No 66.5
## 505 4 No 77.9
## 506 5 Yes 72.9
## 514 6 No 62.5
## 521 1 No 62.7
## 529 9 Yes 77.0
## 543 8 No 72.2
## 549 3 No 67.1
## 560 4 No 70.3
## 562 10 Yes 66.6
## 571 6 Yes 61.8
## 572 4 Yes 51.5
## 583 8 No 61.0
## 584 1 Yes 70.5
## 586 1 No 62.8
## 588 5 No 71.4
## 589 2 No 61.5
## 590 1 No 75.4
## 603 10 Yes 72.9
## 610 5 No 77.4
## 613 9 No 69.3
## 625 8 Yes 83.2
## 627 9 Yes 70.8
## 638 1 Yes 70.3
## 640 2 No 62.9
## 652 7 No 75.7
## 655 9 No 71.5
## 660 10 Yes 73.6
## 672 3 Yes 70.4
## 680 7 No 64.2
## 686 8 No 55.4
## 687 1 No 69.9
## 699 9 No 71.5
## 707 4 No 83.6
## 710 5 Yes 56.4
## 720 9 No 68.9
## 726 2 No 64.0
## 728 7 No 57.4
## 730 7 No 66.7
## 733 9 No 62.6
## 737 6 No 72.8
## 739 5 Yes 76.0
## 744 2 Yes 76.4
## 750 9 Yes 77.2
## 753 4 Yes 71.3
## 756 9 No 59.3
## 762 1 Yes 71.8
## 768 10 No 63.7
## 773 7 No 73.0
## 784 9 No 77.9
## 788 5 Yes 64.4
## 790 4 No 78.0
## 806 10 Yes 76.1
## 808 7 Yes 65.2
## 814 6 No 65.5
## 820 3 No 67.3
## 834 2 No 78.5
## 838 10 No 62.6
## 840 3 No 63.9
## 846 4 Yes 78.1
## 853 9 No 72.5
## 855 5 No 70.0
## 856 2 No 56.1
## 871 3 No 67.5
## 872 8 Yes 66.5
## 879 2 No 60.0
## 883 7 No 68.2
## 887 2 Yes 65.6
## 889 8 Yes 69.8
## 890 8 No 66.6
## 897 5 No 58.4
## 901 6 Yes 82.1
## 903 3 No 66.7
## 904 7 No 70.9
## 908 3 No 55.4
## 910 1 No 71.8
## 918 3 No 77.2
## 919 7 No 71.9
## 920 7 Yes 74.7
## 921 10 No 74.5
## 929 2 No 65.6
## 932 7 Yes 68.8
## 933 5 No 76.8
## 940 6 No 71.0
## 941 4 No 67.5
## 945 8 Yes 67.9
## 948 6 Yes 59.9
## 949 7 No 63.2
## 953 9 No 65.6
## 957 3 No 59.6
## 966 6 Yes 77.3
## 969 4 No 74.6
## 972 6 No 64.5
## 974 8 No 74.6
## 982 2 No 66.2
## 984 2 No 64.4
## 989 8 Yes 72.5
## 996 6 Yes 76.1
## 998 9 Yes 64.4
siswa[which(siswa2$cluster == 5),]
## student_id age gender study_hours_per_day social_media_hours netflix_hours
## 2 S1001 20 Female 6.9 2.8 2.3
## 6 S1005 24 Male 7.2 1.3 0.0
## 7 S1006 21 Female 5.6 1.5 1.4
## 10 S1009 18 Female 4.8 3.1 1.3
## 23 S1022 18 Other 4.9 2.3 0.6
## 29 S1028 24 Male 4.3 2.0 2.8
## 50 S1049 22 Female 6.1 2.5 2.3
## 56 S1055 20 Male 5.4 2.8 3.8
## 60 S1059 21 Female 6.7 2.2 2.6
## 63 S1062 21 Male 4.5 3.4 3.3
## 70 S1069 22 Male 6.8 3.7 1.8
## 74 S1073 18 Female 7.4 3.6 3.9
## 76 S1075 18 Female 6.0 3.4 2.0
## 77 S1076 20 Male 6.0 2.5 2.9
## 80 S1079 20 Male 5.9 3.3 2.8
## 97 S1096 18 Female 6.0 3.6 0.8
## 101 S1100 23 Male 4.3 3.0 1.5
## 117 S1116 17 Male 7.0 3.3 3.1
## 121 S1120 24 Male 3.7 0.4 0.9
## 123 S1122 18 Male 4.6 3.9 0.0
## 128 S1127 17 Female 4.3 2.2 1.6
## 132 S1131 21 Female 7.2 3.7 0.0
## 142 S1141 17 Male 5.0 1.3 0.8
## 153 S1152 17 Female 5.6 2.8 4.1
## 163 S1162 24 Female 3.4 3.0 0.1
## 171 S1170 24 Male 5.8 2.1 2.8
## 172 S1171 21 Female 5.3 2.4 0.1
## 174 S1173 20 Female 5.7 2.1 2.4
## 185 S1184 17 Female 4.9 0.0 0.7
## 198 S1197 20 Female 4.1 2.7 0.0
## 202 S1201 24 Male 4.4 0.9 0.0
## 203 S1202 23 Male 3.7 0.7 0.0
## 207 S1206 24 Male 3.5 1.9 1.2
## 212 S1211 23 Female 6.1 1.8 0.5
## 215 S1214 19 Male 5.7 3.8 0.0
## 218 S1217 21 Other 5.1 0.9 0.7
## 220 S1219 23 Female 6.2 2.8 1.0
## 223 S1222 22 Male 6.7 2.9 2.0
## 227 S1226 21 Male 5.5 2.2 0.9
## 228 S1227 22 Female 5.8 1.4 1.9
## 231 S1230 22 Male 4.2 0.3 0.1
## 233 S1232 20 Female 6.5 0.7 1.7
## 243 S1242 20 Female 5.3 1.8 2.0
## 244 S1243 17 Female 4.6 2.2 1.7
## 245 S1244 23 Male 5.0 4.5 2.3
## 248 S1247 17 Female 5.8 3.5 1.9
## 251 S1250 22 Male 5.5 3.5 1.1
## 253 S1252 20 Female 4.2 1.2 4.0
## 254 S1253 21 Male 6.7 1.4 0.9
## 256 S1255 19 Female 4.9 2.8 1.6
## 259 S1258 24 Female 5.8 3.0 0.4
## 267 S1266 20 Female 6.6 3.2 2.1
## 279 S1278 17 Female 4.2 2.0 0.4
## 280 S1279 18 Female 4.6 0.6 2.1
## 282 S1281 20 Female 5.3 4.2 1.1
## 285 S1284 18 Male 4.1 1.9 2.6
## 288 S1287 21 Male 4.4 2.2 0.9
## 289 S1288 17 Male 5.4 1.6 1.4
## 292 S1291 19 Female 6.1 1.5 0.4
## 294 S1293 18 Female 7.4 1.6 1.2
## 295 S1294 18 Male 4.3 3.3 0.0
## 297 S1296 22 Female 4.6 1.8 3.0
## 299 S1298 21 Female 5.4 3.1 1.8
## 300 S1299 24 Female 4.5 3.1 0.5
## 306 S1305 21 Female 4.4 3.6 0.3
## 307 S1306 20 Female 6.0 1.6 1.3
## 311 S1310 24 Other 5.3 3.8 1.7
## 316 S1315 24 Female 4.5 3.4 0.4
## 321 S1320 24 Female 4.6 1.8 1.5
## 323 S1322 20 Male 6.1 4.9 1.4
## 330 S1329 24 Male 5.4 0.2 0.0
## 332 S1331 17 Male 7.3 1.7 1.6
## 335 S1334 22 Female 5.8 1.0 2.4
## 336 S1335 24 Male 6.5 3.5 3.9
## 337 S1336 21 Female 6.6 2.2 2.7
## 338 S1337 19 Male 5.3 2.2 1.7
## 344 S1343 18 Other 3.5 1.8 1.9
## 345 S1344 19 Male 3.2 1.2 1.2
## 350 S1349 23 Female 5.7 0.9 1.2
## 357 S1356 18 Male 5.8 2.6 0.9
## 360 S1359 19 Male 6.3 1.5 0.0
## 367 S1366 22 Male 6.3 3.0 1.6
## 368 S1367 18 Male 5.8 3.2 4.1
## 382 S1381 22 Female 6.2 1.0 3.4
## 383 S1382 20 Male 6.0 2.2 2.8
## 395 S1394 19 Female 3.2 1.5 0.0
## 397 S1396 24 Male 4.9 0.0 2.5
## 405 S1404 24 Male 4.6 1.4 2.9
## 418 S1417 18 Female 5.2 3.7 1.1
## 422 S1421 18 Female 5.2 3.0 3.3
## 434 S1433 24 Female 4.9 2.6 0.2
## 438 S1437 24 Female 6.6 2.8 2.9
## 448 S1447 22 Female 5.9 0.0 3.0
## 449 S1448 23 Female 4.0 3.6 0.3
## 453 S1452 22 Male 4.8 2.3 1.6
## 456 S1455 19 Male 8.3 3.3 2.6
## 465 S1464 20 Male 6.3 3.0 3.9
## 466 S1465 23 Male 5.1 1.5 0.8
## 468 S1467 17 Male 5.4 3.3 2.6
## 470 S1469 20 Male 4.8 1.9 1.1
## 479 S1478 17 Female 6.6 1.3 1.7
## 488 S1487 20 Male 5.0 0.8 2.0
## 489 S1488 17 Male 5.3 2.5 2.7
## 490 S1489 21 Female 7.4 3.6 1.3
## 500 S1499 20 Male 5.2 3.2 4.2
## 501 S1500 23 Male 5.5 1.1 1.4
## 515 S1514 18 Female 5.9 1.3 1.7
## 518 S1517 22 Female 5.8 0.6 1.6
## 528 S1527 18 Female 3.8 0.7 2.1
## 533 S1532 17 Male 4.8 2.5 3.1
## 536 S1535 22 Female 6.4 4.2 1.5
## 548 S1547 20 Male 6.3 2.5 3.3
## 551 S1550 17 Female 5.2 1.5 0.2
## 554 S1553 20 Female 4.8 0.8 0.0
## 563 S1562 23 Female 4.6 1.2 0.0
## 568 S1567 24 Male 4.7 4.1 3.0
## 569 S1568 23 Male 4.1 1.6 0.5
## 570 S1569 23 Male 6.3 1.9 0.0
## 575 S1574 23 Other 4.7 4.9 2.7
## 580 S1579 18 Female 6.1 3.5 0.3
## 595 S1594 20 Male 4.3 2.4 1.0
## 596 S1595 20 Male 5.6 2.0 0.0
## 598 S1597 23 Male 4.9 1.6 4.0
## 599 S1598 20 Female 5.9 1.1 2.1
## 601 S1600 21 Male 6.0 3.3 2.2
## 607 S1606 23 Male 6.8 2.5 0.7
## 612 S1611 18 Male 6.0 1.6 1.3
## 624 S1623 18 Female 4.6 1.2 0.5
## 634 S1633 17 Male 4.5 1.4 1.5
## 639 S1638 18 Female 5.1 2.1 0.7
## 641 S1640 22 Female 6.4 2.7 0.3
## 650 S1649 21 Female 4.8 1.8 2.7
## 653 S1652 23 Female 5.9 4.6 0.9
## 668 S1667 20 Female 5.6 2.4 2.3
## 671 S1670 17 Female 4.6 0.5 1.6
## 674 S1673 22 Male 3.9 2.2 0.2
## 689 S1688 23 Male 5.0 1.8 1.6
## 692 S1691 22 Female 6.2 3.5 2.3
## 694 S1693 20 Female 4.9 2.8 0.6
## 695 S1694 18 Male 5.0 4.0 1.4
## 697 S1696 23 Other 5.6 1.6 0.3
## 702 S1701 24 Male 4.7 3.1 0.9
## 703 S1702 17 Male 4.7 1.2 1.8
## 708 S1707 24 Male 5.2 1.4 3.6
## 713 S1712 17 Male 3.0 0.0 0.6
## 716 S1715 24 Male 5.6 1.4 3.1
## 721 S1720 18 Female 4.9 0.0 2.1
## 722 S1721 19 Male 5.9 0.0 2.0
## 751 S1750 24 Female 6.1 1.9 0.2
## 752 S1751 21 Female 6.8 2.9 2.0
## 765 S1764 21 Male 6.6 2.6 1.5
## 770 S1769 17 Male 6.4 3.7 2.0
## 772 S1771 21 Female 4.2 2.0 3.5
## 775 S1774 18 Female 7.5 3.6 1.9
## 778 S1777 24 Other 4.2 2.2 0.3
## 779 S1778 24 Male 5.1 0.5 1.4
## 780 S1779 19 Female 3.6 2.0 1.0
## 781 S1780 17 Female 4.0 3.7 2.2
## 785 S1784 18 Male 4.4 2.9 1.3
## 787 S1786 23 Male 4.1 2.6 2.4
## 789 S1788 24 Male 5.2 2.3 1.5
## 792 S1791 24 Male 5.4 3.4 0.9
## 796 S1795 23 Male 5.6 4.6 1.1
## 798 S1797 23 Male 8.2 2.2 1.5
## 799 S1798 17 Female 5.1 3.9 3.0
## 801 S1800 17 Male 3.4 1.5 1.0
## 803 S1802 17 Male 4.3 1.9 1.9
## 810 S1809 21 Female 5.2 2.8 3.2
## 818 S1817 19 Female 4.9 1.5 3.4
## 825 S1824 24 Other 4.9 0.5 2.1
## 826 S1825 20 Male 4.3 1.3 0.0
## 827 S1826 19 Male 4.6 2.4 2.4
## 828 S1827 18 Female 4.3 2.6 1.2
## 833 S1832 19 Male 5.3 2.6 0.0
## 836 S1835 20 Female 5.1 2.6 1.8
## 850 S1849 22 Male 4.9 1.9 2.5
## 859 S1858 18 Male 4.5 2.0 1.2
## 862 S1861 17 Male 3.9 1.9 0.2
## 863 S1862 18 Female 5.5 2.0 0.0
## 867 S1866 21 Female 6.2 2.7 0.9
## 868 S1867 22 Female 5.4 3.0 1.5
## 874 S1873 17 Female 4.3 1.3 0.0
## 875 S1874 18 Male 5.1 2.6 0.9
## 876 S1875 19 Female 7.6 3.0 2.9
## 886 S1885 21 Male 5.2 0.0 1.3
## 891 S1890 23 Male 4.7 0.9 1.0
## 909 S1908 23 Female 5.6 2.8 0.5
## 911 S1910 19 Male 4.9 1.0 2.4
## 912 S1911 21 Male 5.4 4.5 1.0
## 913 S1912 21 Male 3.6 2.7 0.1
## 922 S1921 23 Female 4.4 2.7 1.0
## 930 S1929 17 Female 5.7 2.7 1.4
## 931 S1930 23 Male 4.0 0.3 0.6
## 935 S1934 24 Male 5.1 1.5 3.2
## 946 S1945 23 Male 6.0 2.9 2.1
## 952 S1951 20 Female 3.3 2.2 0.9
## 956 S1955 19 Female 2.7 2.8 1.4
## 961 S1960 17 Male 7.1 1.9 1.1
## 965 S1964 23 Other 3.5 2.3 2.1
## 970 S1969 19 Female 4.6 2.0 3.6
## 971 S1970 24 Female 4.2 2.4 1.5
## 973 S1972 17 Female 4.5 0.4 3.0
## 978 S1977 24 Female 5.8 1.3 2.2
## 983 S1982 20 Female 3.8 2.4 2.2
## 992 S1991 20 Male 6.0 2.1 3.0
## part_time_job attendance_percentage sleep_hours diet_quality
## 2 No 97.3 4.6 Good
## 6 No 82.9 7.4 Fair
## 7 Yes 85.8 6.5 Good
## 10 No 95.4 7.5 Good
## 23 No 84.5 6.0 Fair
## 29 Yes 78.4 8.1 Good
## 50 No 100.0 5.8 Poor
## 56 No 91.8 6.9 Good
## 60 No 84.5 6.7 Good
## 63 Yes 93.1 7.1 Good
## 70 No 72.3 7.5 Poor
## 74 No 83.6 5.5 Fair
## 76 Yes 92.3 7.0 Fair
## 77 No 85.1 6.7 Poor
## 80 Yes 79.9 5.5 Good
## 97 No 92.3 7.1 Good
## 101 No 100.0 7.5 Good
## 117 No 88.4 6.1 Good
## 121 No 92.1 6.6 Fair
## 123 No 83.6 9.7 Poor
## 128 No 71.6 9.4 Good
## 132 No 100.0 7.8 Good
## 142 No 95.4 5.4 Good
## 153 No 85.8 6.8 Good
## 163 No 77.3 6.8 Fair
## 171 No 74.7 9.3 Fair
## 172 No 85.5 5.5 Good
## 174 No 85.8 5.6 Fair
## 185 No 71.2 6.4 Fair
## 198 No 89.5 6.5 Fair
## 202 No 92.3 5.8 Fair
## 203 No 78.1 6.6 Fair
## 207 No 95.3 6.5 Poor
## 212 No 82.9 6.1 Good
## 215 No 100.0 8.8 Fair
## 218 No 79.7 5.5 Fair
## 220 No 84.9 7.0 Fair
## 223 No 83.2 6.6 Good
## 227 Yes 84.1 5.0 Fair
## 228 No 85.2 4.7 Good
## 231 No 80.0 7.9 Poor
## 233 No 77.3 6.3 Good
## 243 No 83.8 8.4 Good
## 244 No 85.2 7.6 Fair
## 245 No 87.2 7.7 Good
## 248 No 88.7 8.8 Fair
## 251 Yes 81.3 7.0 Good
## 253 No 75.8 6.5 Fair
## 254 No 100.0 8.0 Fair
## 256 No 84.6 5.2 Good
## 259 No 66.5 3.2 Fair
## 267 No 86.5 9.3 Fair
## 279 No 88.6 5.4 Fair
## 280 No 90.0 4.5 Poor
## 282 Yes 79.9 5.1 Good
## 285 No 100.0 7.9 Fair
## 288 No 75.7 8.8 Good
## 289 No 100.0 7.1 Fair
## 292 No 89.2 7.0 Poor
## 294 No 94.6 5.7 Fair
## 295 No 100.0 6.8 Fair
## 297 No 74.4 6.3 Fair
## 299 No 88.1 6.2 Poor
## 300 No 100.0 7.7 Fair
## 306 No 76.6 5.4 Fair
## 307 No 92.5 8.1 Fair
## 311 No 79.0 7.1 Good
## 316 No 79.6 6.1 Fair
## 321 No 80.9 8.2 Fair
## 323 No 68.7 5.3 Good
## 330 No 76.8 6.7 Fair
## 332 No 79.5 7.7 Fair
## 335 No 97.9 6.1 Fair
## 336 No 100.0 7.4 Poor
## 337 No 73.0 6.4 Good
## 338 No 92.0 5.2 Fair
## 344 No 85.8 6.6 Fair
## 345 No 78.6 6.6 Fair
## 350 No 89.2 5.8 Poor
## 357 Yes 70.0 7.1 Good
## 360 No 83.3 7.3 Good
## 367 No 93.6 7.7 Poor
## 368 No 90.5 7.9 Poor
## 382 No 82.8 5.9 Poor
## 383 Yes 83.1 7.6 Good
## 395 No 79.6 8.1 Good
## 397 Yes 87.6 6.0 Fair
## 405 Yes 74.5 5.4 Good
## 418 No 96.6 7.4 Fair
## 422 No 76.0 4.6 Good
## 434 No 100.0 6.0 Good
## 438 No 84.3 8.0 Good
## 448 No 100.0 6.3 Fair
## 449 No 93.4 7.0 Good
## 453 Yes 71.7 7.5 Good
## 456 Yes 86.6 6.5 Fair
## 465 Yes 73.1 6.9 Fair
## 466 No 81.0 5.5 Fair
## 468 No 85.9 7.1 Fair
## 470 No 85.1 8.1 Fair
## 479 No 77.9 6.9 Good
## 488 No 84.1 6.7 Fair
## 489 Yes 83.2 5.8 Good
## 490 No 91.6 7.1 Good
## 500 Yes 78.9 6.1 Poor
## 501 No 84.4 4.9 Fair
## 515 No 80.6 6.2 Fair
## 518 No 73.9 5.8 Fair
## 528 No 77.5 7.2 Good
## 533 Yes 81.7 7.1 Fair
## 536 Yes 88.8 6.1 Fair
## 548 No 85.4 6.1 Fair
## 551 Yes 86.3 6.2 Good
## 554 No 81.2 8.1 Good
## 563 No 63.1 6.4 Good
## 568 No 71.2 4.9 Good
## 569 No 80.2 7.8 Poor
## 570 No 93.4 6.2 Fair
## 575 No 86.4 8.4 Poor
## 580 Yes 69.8 5.7 Good
## 595 Yes 97.9 7.2 Good
## 596 No 77.5 7.1 Fair
## 598 No 87.1 8.0 Fair
## 599 Yes 83.4 5.7 Poor
## 601 No 74.4 5.4 Fair
## 607 No 97.2 4.4 Good
## 612 No 89.7 5.5 Fair
## 624 No 92.8 8.2 Good
## 634 No 75.0 8.0 Good
## 639 Yes 75.2 6.7 Fair
## 641 Yes 78.3 5.8 Good
## 650 No 77.8 6.6 Fair
## 653 No 96.9 5.4 Good
## 668 No 94.7 7.0 Fair
## 671 No 72.3 5.5 Good
## 674 No 85.4 6.7 Poor
## 689 No 100.0 5.7 Good
## 692 No 94.5 8.2 Fair
## 694 No 88.7 7.0 Fair
## 695 No 77.6 4.6 Fair
## 697 No 86.5 6.0 Fair
## 702 No 74.9 4.9 Good
## 703 No 81.6 6.0 Fair
## 708 No 98.6 5.7 Good
## 713 Yes 99.5 7.8 Fair
## 716 No 85.8 6.1 Good
## 721 Yes 95.1 5.0 Good
## 722 Yes 84.6 8.3 Poor
## 751 No 97.6 5.9 Poor
## 752 No 80.0 5.4 Fair
## 765 No 84.7 7.9 Fair
## 770 No 64.1 5.1 Fair
## 772 No 88.0 6.5 Good
## 775 Yes 85.9 7.8 Fair
## 778 Yes 89.0 6.8 Poor
## 779 No 88.9 4.1 Good
## 780 Yes 80.7 7.1 Good
## 781 No 89.5 7.8 Poor
## 785 No 80.7 7.2 Fair
## 787 No 77.3 6.9 Good
## 789 No 80.5 5.9 Fair
## 792 No 82.7 6.2 Fair
## 796 No 85.4 5.4 Good
## 798 No 83.1 5.7 Poor
## 799 No 79.3 7.2 Good
## 801 No 90.8 7.5 Good
## 803 No 78.7 10.0 Fair
## 810 No 88.7 5.4 Good
## 818 No 71.4 6.9 Good
## 825 No 85.3 7.5 Poor
## 826 Yes 90.2 6.3 Good
## 827 No 75.2 6.9 Poor
## 828 No 71.0 8.5 Good
## 833 Yes 87.1 8.5 Fair
## 836 No 83.4 6.5 Fair
## 850 No 90.9 6.0 Fair
## 859 Yes 82.2 6.3 Fair
## 862 No 82.4 8.4 Fair
## 863 No 90.1 6.2 Good
## 867 No 80.9 3.7 Fair
## 868 No 100.0 8.5 Poor
## 874 No 82.7 4.9 Fair
## 875 No 96.0 7.0 Fair
## 876 No 99.4 4.8 Poor
## 886 No 87.7 8.7 Fair
## 891 Yes 83.9 4.7 Fair
## 909 Yes 92.2 9.4 Fair
## 911 No 100.0 6.6 Fair
## 912 No 75.1 7.1 Fair
## 913 No 75.8 9.5 Poor
## 922 No 79.8 6.1 Fair
## 930 No 79.0 7.7 Good
## 931 No 78.4 7.8 Good
## 935 No 78.6 7.0 Poor
## 946 Yes 98.9 6.4 Poor
## 952 No 76.7 8.7 Good
## 956 Yes 92.2 10.0 Poor
## 961 Yes 69.3 5.6 Good
## 965 No 84.3 7.6 Good
## 970 Yes 81.1 6.8 Fair
## 971 No 83.2 5.1 Fair
## 973 No 100.0 5.5 Fair
## 978 Yes 89.1 7.9 Good
## 983 Yes 91.5 8.6 Fair
## 992 No 86.7 5.1 Good
## exercise_frequency parental_education_level internet_quality
## 2 6 High School Average
## 6 1 Master Average
## 7 2 Master Poor
## 10 5 Bachelor Good
## 23 3 High School Average
## 29 5 High School Poor
## 50 5 High School Average
## 56 2 High School Good
## 60 3 Master Average
## 63 6 High School Good
## 70 6 Master Average
## 74 3 High School Average
## 76 0 Bachelor Good
## 77 5 Bachelor Average
## 80 3 Master Average
## 97 0 High School Good
## 101 5 None Average
## 117 5 None Average
## 121 6 Bachelor Average
## 123 3 High School Good
## 128 5 Bachelor Good
## 132 6 High School Good
## 142 6 Bachelor Good
## 153 4 High School Good
## 163 5 Master Average
## 171 1 Bachelor Good
## 172 0 Bachelor Good
## 174 3 Master Good
## 185 5 Master Poor
## 198 0 Master Average
## 202 3 High School Good
## 203 1 None Average
## 207 6 Bachelor Average
## 212 6 Bachelor Good
## 215 3 None Average
## 218 6 High School Good
## 220 5 Master Good
## 223 6 Bachelor Average
## 227 3 Bachelor Good
## 228 4 Bachelor Average
## 231 3 High School Poor
## 233 4 Master Average
## 243 1 Bachelor Good
## 244 2 Bachelor Average
## 245 6 High School Average
## 248 1 Bachelor Good
## 251 2 High School Average
## 253 1 High School Good
## 254 4 Bachelor Good
## 256 4 High School Average
## 259 2 High School Average
## 267 5 Master Average
## 279 2 Master Good
## 280 1 High School Good
## 282 2 High School Average
## 285 6 Bachelor Good
## 288 6 High School Poor
## 289 3 High School Average
## 292 1 Bachelor Average
## 294 5 Bachelor Good
## 295 6 High School Average
## 297 6 High School Average
## 299 3 High School Average
## 300 3 Bachelor Average
## 306 2 High School Good
## 307 5 Bachelor Average
## 311 6 Master Average
## 316 5 High School Poor
## 321 5 None Poor
## 323 0 Bachelor Good
## 330 4 Bachelor Average
## 332 6 None Average
## 335 4 None Average
## 336 5 High School Average
## 337 2 Bachelor Poor
## 338 2 High School Good
## 344 0 High School Good
## 345 2 High School Poor
## 350 5 Bachelor Average
## 357 6 High School Average
## 360 5 Bachelor Good
## 367 2 High School Average
## 368 6 Bachelor Good
## 382 4 Bachelor Good
## 383 0 Bachelor Average
## 395 5 Bachelor Good
## 397 5 Master Average
## 405 6 Bachelor Average
## 418 2 Bachelor Average
## 422 3 None Poor
## 434 1 Bachelor Average
## 438 1 None Good
## 448 2 High School Good
## 449 6 High School Good
## 453 4 Bachelor Good
## 456 5 High School Average
## 465 2 Master Average
## 466 6 None Good
## 468 6 High School Good
## 470 1 Bachelor Good
## 479 5 High School Good
## 488 6 Bachelor Average
## 489 3 Bachelor Average
## 490 3 High School Good
## 500 0 Bachelor Poor
## 501 0 Bachelor Good
## 515 5 High School Good
## 518 6 Bachelor Good
## 528 5 Bachelor Good
## 533 5 High School Good
## 536 0 High School Good
## 548 6 High School Good
## 551 5 High School Average
## 554 5 High School Average
## 563 3 None Average
## 568 3 Bachelor Poor
## 569 5 High School Poor
## 570 6 None Good
## 575 6 Bachelor Average
## 580 3 High School Average
## 595 3 High School Average
## 596 4 Bachelor Average
## 598 5 Bachelor Poor
## 599 2 Master Average
## 601 0 High School Average
## 607 1 Bachelor Poor
## 612 6 High School Poor
## 624 4 Master Good
## 634 2 Master Good
## 639 1 Master Good
## 641 0 High School Average
## 650 6 Bachelor Average
## 653 4 Bachelor Average
## 668 6 High School Average
## 671 2 Master Good
## 674 3 Master Average
## 689 6 High School Poor
## 692 5 Bachelor Good
## 694 5 High School Average
## 695 6 High School Poor
## 697 5 Master Good
## 702 4 High School Average
## 703 1 Master Good
## 708 4 Bachelor Average
## 713 4 Bachelor Average
## 716 0 Master Good
## 721 3 Bachelor Average
## 722 3 High School Good
## 751 6 Bachelor Poor
## 752 0 High School Average
## 765 1 Master Poor
## 770 6 High School Good
## 772 5 High School Average
## 775 6 Bachelor Average
## 778 3 High School Good
## 779 4 Bachelor Average
## 780 6 Bachelor Average
## 781 0 High School Average
## 785 5 High School Good
## 787 2 Bachelor Average
## 789 6 Master Poor
## 792 1 Bachelor Good
## 796 5 None Poor
## 798 2 Master Good
## 799 1 Bachelor Average
## 801 4 Bachelor Poor
## 803 4 None Good
## 810 0 Bachelor Good
## 818 6 High School Good
## 825 0 None Average
## 826 0 High School Average
## 827 4 High School Good
## 828 5 Bachelor Average
## 833 5 High School Average
## 836 6 High School Average
## 850 3 Bachelor Average
## 859 5 High School Good
## 862 4 Bachelor Poor
## 863 5 High School Poor
## 867 3 Bachelor Good
## 868 6 Bachelor Good
## 874 1 High School Good
## 875 0 Master Average
## 876 0 High School Good
## 886 6 High School Poor
## 891 5 High School Average
## 909 4 Bachelor Good
## 911 1 None Average
## 912 2 None Good
## 913 6 High School Average
## 922 6 None Average
## 930 0 Master Average
## 931 1 Master Good
## 935 5 High School Poor
## 946 0 None Average
## 952 5 Bachelor Poor
## 956 3 High School Average
## 961 6 High School Average
## 965 5 High School Poor
## 970 5 Bachelor Average
## 971 3 Bachelor Average
## 973 3 High School Good
## 978 5 High School Average
## 983 2 High School Good
## 992 2 High School Good
## mental_health_rating extracurricular_participation exam_score
## 2 8 No 100.0
## 6 4 No 100.0
## 7 4 No 89.8
## 10 10 Yes 100.0
## 23 7 No 98.7
## 29 3 Yes 82.8
## 50 1 No 96.5
## 56 8 No 87.2
## 60 5 Yes 97.1
## 63 10 No 94.7
## 70 5 No 100.0
## 74 7 Yes 97.7
## 76 9 Yes 99.9
## 77 10 Yes 100.0
## 80 7 No 91.6
## 97 3 No 87.9
## 101 10 Yes 93.2
## 117 6 Yes 94.8
## 121 6 No 87.9
## 123 2 No 84.8
## 128 7 No 88.0
## 132 9 No 100.0
## 142 7 No 96.2
## 153 7 No 90.3
## 163 7 No 83.8
## 171 6 No 96.6
## 172 3 Yes 85.8
## 174 4 Yes 83.8
## 185 5 No 96.2
## 198 9 Yes 87.1
## 202 8 No 96.5
## 203 9 No 85.1
## 207 10 Yes 92.6
## 212 3 Yes 98.3
## 215 7 No 100.0
## 218 3 No 87.0
## 220 4 No 100.0
## 223 5 No 100.0
## 227 1 No 88.7
## 228 8 Yes 96.6
## 231 9 Yes 100.0
## 233 3 No 100.0
## 243 5 No 91.5
## 244 8 No 87.3
## 245 8 No 98.0
## 248 8 Yes 90.0
## 251 10 No 100.0
## 253 10 No 85.3
## 254 2 No 93.8
## 256 7 No 85.0
## 259 8 No 90.8
## 267 4 Yes 100.0
## 279 8 Yes 93.9
## 280 8 No 85.9
## 282 9 No 83.3
## 285 8 No 91.9
## 288 4 Yes 84.2
## 289 5 No 95.5
## 292 9 No 100.0
## 294 10 Yes 100.0
## 295 9 No 94.9
## 297 8 No 86.2
## 299 4 Yes 91.3
## 300 10 No 93.8
## 306 5 Yes 87.5
## 307 9 No 100.0
## 311 8 No 96.3
## 316 10 No 98.8
## 321 9 Yes 94.2
## 323 10 No 96.1
## 330 8 No 100.0
## 332 2 Yes 100.0
## 335 9 No 100.0
## 336 7 Yes 100.0
## 337 8 Yes 100.0
## 338 5 No 93.1
## 344 9 No 85.0
## 345 10 Yes 81.7
## 350 7 No 100.0
## 357 8 No 100.0
## 360 2 Yes 100.0
## 367 6 Yes 94.8
## 368 8 No 99.3
## 382 10 No 100.0
## 383 6 No 96.8
## 395 10 No 92.0
## 397 1 No 97.2
## 405 7 Yes 85.6
## 418 9 Yes 100.0
## 422 10 Yes 87.1
## 434 3 Yes 89.3
## 438 8 No 100.0
## 448 1 Yes 93.6
## 449 10 Yes 91.9
## 453 6 No 89.3
## 456 9 No 100.0
## 465 5 No 85.3
## 466 4 No 83.2
## 468 8 No 98.1
## 470 8 Yes 96.1
## 479 3 Yes 97.7
## 488 6 Yes 94.6
## 489 6 Yes 93.4
## 490 6 Yes 100.0
## 500 10 No 83.3
## 501 6 No 84.5
## 515 1 Yes 87.1
## 518 6 No 100.0
## 528 10 No 81.8
## 533 5 Yes 83.0
## 536 6 No 85.0
## 548 5 No 95.6
## 551 7 No 97.9
## 554 1 No 88.0
## 563 6 No 91.7
## 568 10 Yes 93.1
## 569 7 Yes 89.8
## 570 3 Yes 100.0
## 575 2 No 89.6
## 580 9 Yes 100.0
## 595 6 No 88.0
## 596 7 No 100.0
## 598 7 No 95.5
## 599 2 Yes 86.4
## 601 8 Yes 90.2
## 607 4 No 93.1
## 612 7 No 100.0
## 624 4 No 93.0
## 634 2 Yes 83.7
## 639 10 Yes 99.4
## 641 7 No 98.0
## 650 5 No 88.0
## 653 10 No 100.0
## 668 10 Yes 100.0
## 671 10 Yes 88.9
## 674 6 Yes 84.9
## 689 7 No 92.9
## 692 8 No 100.0
## 694 6 No 88.7
## 695 10 No 88.6
## 697 6 No 100.0
## 702 9 Yes 96.4
## 703 3 No 83.1
## 708 6 No 92.0
## 713 10 No 98.7
## 716 10 No 91.3
## 721 5 No 94.2
## 722 8 No 100.0
## 751 6 No 98.5
## 752 7 No 96.2
## 765 2 No 96.6
## 770 4 No 98.8
## 772 9 No 84.6
## 775 3 No 100.0
## 778 10 Yes 87.5
## 779 8 No 100.0
## 780 10 No 85.6
## 781 10 Yes 89.4
## 785 10 No 91.3
## 787 9 No 85.3
## 789 3 No 82.8
## 792 9 No 92.3
## 796 6 Yes 89.7
## 798 5 Yes 100.0
## 799 10 No 90.6
## 801 7 Yes 86.1
## 803 2 No 82.9
## 810 7 Yes 89.5
## 818 7 Yes 88.2
## 825 4 No 83.9
## 826 7 No 90.4
## 827 4 No 87.8
## 828 9 No 87.5
## 833 9 Yes 98.4
## 836 10 No 100.0
## 850 10 No 98.7
## 859 5 Yes 84.4
## 862 9 Yes 93.5
## 863 1 No 93.7
## 867 4 Yes 87.9
## 868 2 No 94.5
## 874 7 No 84.9
## 875 10 No 96.6
## 876 3 No 100.0
## 886 8 No 100.0
## 891 3 No 84.5
## 909 8 No 100.0
## 911 10 No 89.2
## 912 4 No 83.9
## 913 9 No 89.1
## 922 3 No 85.4
## 930 8 Yes 89.8
## 931 7 No 89.5
## 935 8 Yes 89.3
## 946 7 No 100.0
## 952 10 No 94.0
## 956 8 No 86.9
## 961 6 No 100.0
## 965 10 Yes 89.1
## 970 4 No 83.0
## 971 9 Yes 85.9
## 973 8 No 91.9
## 978 1 Yes 99.0
## 983 10 No 88.0
## 992 3 No 85.3
segmentasi$centers
## age gender.1 study_hours_per_day social_media_hours part_time_job.1
## 1 20.50602 1.548193 1.746988 2.825301 1.222892
## 2 20.45000 1.565000 2.822000 2.615000 1.225000
## 3 20.29741 1.517241 3.876724 2.503879 1.206897
## 4 20.76650 1.609137 3.637563 2.402538 1.218274
## 5 20.50732 1.570732 5.266829 2.240488 1.204878
## attendance_percentage sleep_hours diet_quality.1 exercise_frequency
## 1 82.12048 6.343373 1.789157 2.626506
## 2 88.40800 6.299500 1.750000 2.905000
## 3 90.82371 6.501293 1.741379 3.068966
## 4 72.61472 6.473096 1.771574 2.949239
## 5 85.08244 6.700976 1.697561 3.570732
## parental_education_level.1 internet_quality.1 mental_health_rating
## 1 1.969880 1.740964 4.138554
## 2 2.105000 1.790000 4.645000
## 3 1.982759 1.857759 5.913793
## 4 1.944162 1.776650 5.502538
## 5 1.990244 1.673171 6.663415
## extracurricular_participation.1 exam_score
## 1 1.331325 43.77892
## 2 1.335000 59.95200
## 3 1.280172 75.85172
## 4 1.309645 69.65025
## 5 1.341463 92.80537
segmentasi$size
## [1] 166 200 232 197 205
segmentasi$withinss
## [1] 22869.75 16671.60 19062.79 21243.43 26545.90
sse <- sapply(1:10, function(param_k) {kmeans(siswa2[field_yang_digunakan], param_k, nstart=25)$tot.withinss})
sse
## [1] 398403.40 209920.47 156516.74 122235.08 106393.46 93690.85 85375.84
## [8] 77460.83 70996.45 65506.35
library(ggplot2)
jumlah_cluster_max <- 10
ssdata = data.frame(cluster=c(1:jumlah_cluster_max),sse)
ggplot(ssdata, aes(x=cluster,y=sse)) +
geom_line(color="pink") + geom_point() +
ylab("Within Cluster Sum of Squares") + xlab("Jumlah Cluster") +
geom_text(aes(label=format(round(sse, 2), nsmall = 2)),hjust=-0.2, vjust=-0.5) +
scale_x_discrete(limits=c(1:jumlah_cluster_max))
## Warning in scale_x_discrete(limits = c(1:jumlah_cluster_max)): Continuous limits supplied to discrete scale.
## ℹ Did you mean `limits = factor(...)` or `scale_*_continuous()`?
segmentasi$centers
## age gender.1 study_hours_per_day social_media_hours part_time_job.1
## 1 20.50602 1.548193 1.746988 2.825301 1.222892
## 2 20.45000 1.565000 2.822000 2.615000 1.225000
## 3 20.29741 1.517241 3.876724 2.503879 1.206897
## 4 20.76650 1.609137 3.637563 2.402538 1.218274
## 5 20.50732 1.570732 5.266829 2.240488 1.204878
## attendance_percentage sleep_hours diet_quality.1 exercise_frequency
## 1 82.12048 6.343373 1.789157 2.626506
## 2 88.40800 6.299500 1.750000 2.905000
## 3 90.82371 6.501293 1.741379 3.068966
## 4 72.61472 6.473096 1.771574 2.949239
## 5 85.08244 6.700976 1.697561 3.570732
## parental_education_level.1 internet_quality.1 mental_health_rating
## 1 1.969880 1.740964 4.138554
## 2 2.105000 1.790000 4.645000
## 3 1.982759 1.857759 5.913793
## 4 1.944162 1.776650 5.502538
## 5 1.990244 1.673171 6.663415
## extracurricular_participation.1 exam_score
## 1 1.331325 43.77892
## 2 1.335000 59.95200
## 3 1.280172 75.85172
## 4 1.309645 69.65025
## 5 1.341463 92.80537